library(dplyr)
library(tidyverse)
library(knitr)
library(plotly)
library(kableExtra)
library(leaflet)
library(RColorBrewer)The primary greenhouse gases in Earth’s atmosphere are water vapor (H2O), carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and ozone (O3).
-Carbon dioxide (CO2):
-Methane (CH4):
-Nitrous oxide (N2O):
-Fluorinated gases:
GHGs warm the earth by absorbing energy and slowing the rate at which the energy escapes to space. Different GHGs can have different effects on the earth’s warming depending on their ability to absorb energy (radiative efficiency) and how long they stay in the atmosphere (lifetime).
The Global Warming Potential was developed to allow comparisons of the global warming impacts of different gases. It is a measure of how much energy the emission of 1 ton of a gas will absorb over a given period of time, relative to the emissions of 1 ton of carbon dioxide. The larger the GWP, the more that given gas warms the earth compared to CO2 over that time period (usually 100 years). GWP provides a common unit of measure which allows analysts to add up emissions estimates of different gases (e.g., to compile a national GHG inventory), and allows policymakers to compare emissions reduction opportunities across sectors.
CO2, by definition, has a GWP of 1 regardless of the time period used since it is the gas used as the reference. CO2 emissions cause an increase in the atmospheric concentrations that will least thousands of years.
Methane (CH4) is estimated to have a GWP of 28-36 over 100 years. CH4 emitted today lasts about a decade on average, which is much less time thanCO2. But CH4 absorbs much more energy than CO2.
Nitrous Oxide (N2O) has a GWP 265-298 times that of CO2 for a 100-year timescale. BO2 emitted today remains in the atmosphere for more than 100 years, on average.
Fluorinated gases are high-GWP gases because, for a given amount of mass, they trap substantially more than CO2. The GWPs for these gases can be in the thousands or tens of thousands.
A GHG assessment is an evaluation of the quantity of emitted (or captured and stored) GHGs in the atmosphere over one year resulting from the activities of an organization or a territory.
The methodological princiles vary considerably depending on the type of assessment that is carried out.
The Chapter 8 of the IPCC report provides framewsork and guidance for reporting complete, consistent and transparent national greeenhouse gas inventories, regardless the method used to produce the data.
The 2006 Guidelines are designed to estimate and report on national inventories of anthropogenic greenhouse gas emissions and removels. Anthropogenic emissions and removeals means that greenhouse gas emissions and removals in national inventories are a result of human activities.
National inventories should include ghg emissions and removals taking place withing national territory and offshore areas over whoch the country has jurisdication.
The 2006 Guidelines can be applied for two groups of greenhouse gases:
The 2006 Guidelines group emissions and removals categories into five main sectors:
These sectors are divided into several sub-categories with specific codes that can be explored in [the chapter 8.5 of the guideline](https://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/1_Volume1/V1_8_Ch8_Reporting_Guidance.pdf].
The Greenhouse Protocol provides accounting and reporting standards, sector guidance, calculation tools, and training for businesses and governement. It establishs a comprenhensive, global, standardized framework for measuring and managing emissions from private and public sector operations. The Greenhouse gas Protocol divides emissions into 3 scopes:
Scope 1 covers all direct GHG emissions by a company. It includes fuel combustion, company and fugitive emissions.
Scope 2 covers indirect GHG emissions from consumption of purchased electricity, heat or steam.
Scope 3 covers other indirect emissions, such as the extraction and production of purchased materials and fuels, transport-related activities in vehicles not owned or controlled by the reporting entity, electricity-related activities (e.g. transmission and distribution (T&D) losses) not covered in Scope 2, outsourced activities, waste disposal, etc. Scope 3 emissions (also known as value chain emissions) often represent the largest source of greenhouse gas emissions and in some cases can account for up to 90% of the total carbon impact.
In France, ADEME published in 2004 a methodology for quantifying greenhouse gas emissions for organizations, called the Bilan Carbone®. This method is today coordinated and dissiminated by the Association Bilan carbone.
The Bilan Carbone® method takes account of all greenhouse gases defined by the IPCC for all physical flows without which the organization could not function. This method therefore allows companies and territorial collectivities to carry out a global assessment of GHG emissions, whether direct or indirect. A method has been specifically developed on the territorial scale.
In 1998, the World Business Council for Sustainable Development (WBCSD) and the World Resources Institutes (WRI) developed, in partnership with companies, NGOs and State representatives, the GHG Protocol: “A Corporate Accounting and Reporting Standard”.
This protocol, extensively disseminated internationally, served as the basis for drafting ISO 14064-1:2006.
In October 2011, the GHG Protocol was supplemented by the “Corporate Value Chain (Scope 3) Accounting and Reporting Standard”, which details in particular the potential indirect GHG emission categories for an organization.
Since July 2014, a method dedicated to Territories has been made available: the Global Protocol for Community-scale GHG emissions.
A carbon budget is an upper limit of total CO2 emissions associated with remaining below a specific global average - temperature.
Global emissions budgets are calculated according to historical cumulative emissions from fossil, industrial processes, and land use change, but vary according to the global temperature target that is chosen, the probability of staying below that target, and the emissions of other non CO2 greenhouse gases.
Emissions budgets are relevant to climate change mitigation because they indicate a finite amount of carbon dioxide that can be emitted over time, before resulting in dangerous levels of global warming.
CAIT Historic allow for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 191 countries and the European Union, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2014 and multi-sector greenhouse gas emission for 1990-2014.
More description is available here
History:
The UNFCCC is an international environmental treaty addressing climate change, negotiated by 154 states at tht United Nations Conference on Environment and Development, informally known as the Earth Summit, held in Rio de Janiero in 1992.
The Climate Change Convention entered into force on 21 March 1994. Adopted in 1992 at the Rio Earth Summit, most members of the Organization for Economic Cooperation and Development (OECD) plus the states of Central and Eastern Europe - known collectively as Annex I countries - are committed to adopting policies and measures aimed at returning their greenhouse-gas emissions to 1990 levels by the year 2000. All Parties develop and submit “national communications” containing inventories of greenhouse gas emissions by source and greenhouse gas removals by sinks.
Objectives:
Parties:
The Convention divides countries into three main groups according to differing commitments. Here is the description of these categories (source).
-Annex I Parties include the Industrialized countries that were members of the OECD (Organization for Economic Co-operation and Development) in 1992, plus countries with economies in transition (the EIT parties), including the Russian Federation, the Baltic States, and several Central and Eastern European States.
-Annex II Parties consist of the OECD members of Annex I, but not the EIT Parties. They are required to provide financial resources to enable developing countries to undertake emissions reduction activities under the Convention and to help them adapt to adverse effects of climate change.
- Non-Annex I Parties are mostly developing countries. Certain groups of developing countries are recognized by the Convention as being especially vulnerable to the adverse impacts of climate change, including countries with low-lying coastal areas and those prone to desertification and drought. Others (such as countries that rely heavily on income from fossil fuel production and commerce) feel more vulnerable to the potential economic impacts of climate change response measures.
The European Environment Agency (EEA) is an agency of the European Union, whose task is to provide sound, independent information on the environment. The EEA aims to support sustainable development by helping to achieve significant and measurable improvement in Europe’s environment, through the provision of timely, targeted, relevant and reliable information to policymaking agents and the public.
The European environment information and observation network (Eionet) is a partnership network of the EEA and its member and cooperating countries. Through Eionet, the EEA brings together environmental information from individual countries concentrating on the delivery of timely, nationally validated, high-quality data.
https://ec.europa.eu/eurostat/web/climate-change/data/database
https://ec.europa.eu/eurostat/databrowser/view/sdg_13_10/default/table?lang=en
https://ec.europa.eu/eurostat/databrowser/view/sdg_13_10/default/table?lang=en
https://ec.europa.eu/eurostat/statistics-explained/index.php/Greenhouse_gas_emission_statistics
https://www.eea.europa.eu/themes/air/links/data-sources/emission-database-for-global-atmospheric
https://edgar.jrc.ec.europa.eu/overview.php?v=booklet2018&dst=CO2pc
https://www.eea.europa.eu/data-and-maps/indicators/greenhouse-gas-emission-trends-7/assessment
https://www.eea.europa.eu/data-and-maps/data/greenhouse-gas-emission-projections-for-7
https://www.eea.europa.eu/data-and-maps/data#c0=5&c11=&c5=all&b_start=0
https://www.eea.europa.eu/data-and-maps/data/approximated-estimates-for-greenhouse-gas-emissions-2
| Data provider | Data sets | Geoscale | Data source |
|---|---|---|---|
| The World Bank | GHG emissions indicators | World scale Country scale |
|
| The World Resources Institute - CAIT dataset | World scale Country scale |
||
| The World Resources Institute - UNFCCC dataset | World scale Country scale |
||
| The World Resources Institute - PIK dataset | World scale Country scale |
||
| UNFCCC | World scale Country scale |
||
| PIK | World scale Country scale |
||
| OECD | OECD scale Country scale |
OECD.Stat | |
| European Environmental Agency | Europe scale Country scale |
||
| Our World In Data | CO2 emissions data | World scale Country scale |
|
| Global Carbon Project | CO2 emissions data | World scale;Country scale; City scale |
|
| ADEME | Carbon footprint | City scale |
|
| Citepa | GHG emissions data | Country scale; City scale |
|
| Carbon Disclosure Project | GHG emissions data | City scale |
We propose a data model for mapping the various data source identified
| Column name | Type | Description |
|---|---|---|
| data.source | string | |
| data.provider | string | |
| geo.scale | string | |
| geo.code.iso2c | string | |
| geo.code.iso3c | string | |
| geo.name | string | |
| year | numeric | |
| sector | string | |
| gas | string | |
| value | numeric | |
| unit | string |
# create dataset
OGS_ghg_emission = data.frame(data.source = as.character(),
data.provider = as.character(),
geo.scale = as.character(),
geo.code.iso2c = as.character(),
geo.code.iso3c = as.character(),
geo.name = as.character(),
year = as.numeric(),
sector = as.character(),
gas = as.character(),
value = as.numeric(),
unit = as.character())The World Bank provides access to several indicators related to GHG emissions. This data is provided through API or by download.
In the example below, we will use the R package WDI, which provides easy access to World Bank indicators as shwon in the table below.
library(WDI)
# get datasets on emissions
datasets_emissions = as.data.frame(WDIsearch("emissions"))
# Show datasets on emissions
datasets_emissions %>%
kable() %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 13) %>%
scroll_box(width = "100%", height = "400px")| indicator | name |
|---|---|
| EE.BOD.CGLS.ZS | Water pollution, clay and glass industry (% of total BOD emissions) |
| EE.BOD.CHEM.ZS | Water pollution, chemical industry (% of total BOD emissions) |
| EE.BOD.FOOD.ZS | Water pollution, food industry (% of total BOD emissions) |
| EE.BOD.MTAL.ZS | Water pollution, metal industry (% of total BOD emissions) |
| EE.BOD.OTHR.ZS | Water pollution, other industry (% of total BOD emissions) |
| EE.BOD.PAPR.ZS | Water pollution, paper and pulp industry (% of total BOD emissions) |
| EE.BOD.TOTL.KG | Organic water pollutant (BOD) emissions (kg per day) |
| EE.BOD.TXTL.ZS | Water pollution, textile industry (% of total BOD emissions) |
| EE.BOD.WOOD.ZS | Water pollution, wood industry (% of total BOD emissions) |
| EE.BOD.WRKR.KG | Organic water pollutant (BOD) emissions (kg per day per worker) |
| EN.ATM.CO2E.CP.KT | CO2 emissions from cement production (thousand metric tons) |
| EN.ATM.CO2E.FF.KT | CO2 emissions from fossil-fuels, total (thousand metric tons) |
| EN.ATM.CO2E.FF.ZS | CO2 emissions from fossil-fuels (% of total) |
| EN.ATM.CO2E.GDP | CO2 emissions, industrial (kg per 1987 US$ of GDP) |
| EN.ATM.CO2E.GF.KT | CO2 emissions from gaseous fuel consumption (kt) |
| EN.ATM.CO2E.GF.ZS | CO2 emissions from gaseous fuel consumption (% of total) |
| EN.ATM.CO2E.GL.KT | CO2 emissions from gas flaring (thousand metric tons) |
| EN.ATM.CO2E.KD.87.GD | CO2 emissions, industrial (kg per 1987 US$ of GDP) |
| EN.ATM.CO2E.KD.GD | CO2 emissions (kg per 2010 US$ of GDP) |
| EN.ATM.CO2E.KT | CO2 emissions (kt) |
| EN.ATM.CO2E.LF.KT | CO2 emissions from liquid fuel consumption (kt) |
| EN.ATM.CO2E.LF.ZS | CO2 emissions from liquid fuel consumption (% of total) |
| EN.ATM.CO2E.PC | CO2 emissions (metric tons per capita) |
| EN.ATM.CO2E.PP.GD | CO2 emissions (kg per PPP $ of GDP) |
| EN.ATM.CO2E.PP.GD.KD | CO2 emissions (kg per 2017 PPP $ of GDP) |
| EN.ATM.CO2E.SF.KT | CO2 emissions from solid fuel consumption (kt) |
| EN.ATM.CO2E.SF.ZS | CO2 emissions from solid fuel consumption (% of total) |
| EN.ATM.GHGO.KT.CE | Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) |
| EN.ATM.GHGO.ZG | Other greenhouse gas emissions (% change from 1990) |
| EN.ATM.GHGT.KT.CE | Total greenhouse gas emissions (kt of CO2 equivalent) |
| EN.ATM.GHGT.ZG | Total greenhouse gas emissions (% change from 1990) |
| EN.ATM.HFCG.KT.CE | HFC gas emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.METH.AG.KT.CE | Agricultural methane emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.METH.AG.ZS | Agricultural methane emissions (% of total) |
| EN.ATM.METH.EG.KT.CE | Methane emissions in energy sector (thousand metric tons of CO2 equivalent) |
| EN.ATM.METH.EG.ZS | Energy related methane emissions (% of total) |
| EN.ATM.METH.IN.ZS | Energy related methane emissions (% of total) |
| EN.ATM.METH.KT.CE | Methane emissions (kt of CO2 equivalent) |
| EN.ATM.METH.PC | Methane emissions (kt of CO2 equivalent per capita) |
| EN.ATM.METH.ZG | Methane emissions (% change from 1990) |
| EN.ATM.NOXE.AG.KT.CE | Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.NOXE.AG.ZS | Agricultural nitrous oxide emissions (% of total) |
| EN.ATM.NOXE.EG.KT.CE | Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) |
| EN.ATM.NOXE.EG.ZS | Nitrous oxide emissions in energy sector (% of total) |
| EN.ATM.NOXE.EI.ZS | Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) |
| EN.ATM.NOXE.IN.KT.CE | Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.NOXE.IN.ZS | Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) |
| EN.ATM.NOXE.KT.CE | Nitrous oxide emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.NOXE.MT.CE | Nitrous oxide emissions (metric tons of CO2 equivalent) |
| EN.ATM.NOXE.PC | Nitrous oxide emissions (metric tons of CO2 equivalent per capita) |
| EN.ATM.NOXE.ZG | Nitrous oxide emissions (% change from 1990) |
| EN.ATM.PFCG.KT.CE | PFC gas emissions (thousand metric tons of CO2 equivalent) |
| EN.ATM.SF6G.KT.CE | SF6 gas emissions (thousand metric tons of CO2 equivalent) |
| EN.CLC.GHGR.MT.CE | GHG net emissions/removals by LUCF (Mt of CO2 equivalent) |
| EN.CO2.BLDG.MT | CO2 emissions from residential buildings and commercial and public services (million metric tons) |
| EN.CO2.BLDG.ZS | CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) |
| EN.CO2.ETOT.MT | CO2 emissions from electricity and heat production, total (million metric tons) |
| EN.CO2.ETOT.ZS | CO2 emissions from electricity and heat production, total (% of total fuel combustion) |
| EN.CO2.MANF.MT | CO2 emissions from manufacturing industries and construction (million metric tons) |
| EN.CO2.MANF.ZS | CO2 emissions from manufacturing industries and construction (% of total fuel combustion) |
| EN.CO2.OTHX.MT | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) |
| EN.CO2.OTHX.ZS | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) |
| EN.CO2.TRAN.MT | CO2 emissions from transport (million metric tons) |
| EN.CO2.TRAN.ZS | CO2 emissions from transport (% of total fuel combustion) |
We will select for this article the indicator EN.ATM.GHGT.KT.CE, which corresponds to the total greenhouse gas emissions (measured in kt of CO2 equivalent).
# get Total greenhouse gas emissions (kt of CO2 equivalent)
ghg_emissions_wb = WDI(indicator='EN.ATM.GHGT.KT.CE')
# Show data sample
ghg_emissions_wb %>%
filter(country == "World") %>%
kable() %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 13) %>%
scroll_box(width = "100%", height = "400px")| iso2c | country | EN.ATM.GHGT.KT.CE | year |
|---|---|---|---|
| 1W | World | NA | 2020 |
| 1W | World | NA | 2019 |
| 1W | World | NA | 2018 |
| 1W | World | NA | 2017 |
| 1W | World | NA | 2016 |
| 1W | World | NA | 2015 |
| 1W | World | NA | 2014 |
| 1W | World | NA | 2013 |
| 1W | World | 53526303 | 2012 |
| 1W | World | 52790527 | 2011 |
| 1W | World | 50911114 | 2010 |
| 1W | World | 48150621 | 2009 |
| 1W | World | 48664441 | 2008 |
| 1W | World | 49977387 | 2007 |
| 1W | World | 48639988 | 2006 |
| 1W | World | 47216059 | 2005 |
| 1W | World | 45658898 | 2004 |
| 1W | World | 44422305 | 2003 |
| 1W | World | 43070575 | 2002 |
| 1W | World | 40365673 | 2001 |
| 1W | World | 40563437 | 2000 |
| 1W | World | 40891983 | 1999 |
| 1W | World | 44048271 | 1998 |
| 1W | World | 43375208 | 1997 |
| 1W | World | 39258545 | 1996 |
| 1W | World | 39040328 | 1995 |
| 1W | World | 38810307 | 1994 |
| 1W | World | 38081370 | 1993 |
| 1W | World | 39824355 | 1992 |
| 1W | World | 38587504 | 1991 |
| 1W | World | 38232170 | 1990 |
| 1W | World | 36108992 | 1989 |
| 1W | World | 35478326 | 1988 |
| 1W | World | 35963102 | 1987 |
| 1W | World | 34049392 | 1986 |
| 1W | World | 33080641 | 1985 |
| 1W | World | 32822992 | 1984 |
| 1W | World | 33852269 | 1983 |
| 1W | World | 34370124 | 1982 |
| 1W | World | 32418039 | 1981 |
| 1W | World | 33480327 | 1980 |
| 1W | World | 33615148 | 1979 |
| 1W | World | 32120464 | 1978 |
| 1W | World | 31553905 | 1977 |
| 1W | World | 30301514 | 1976 |
| 1W | World | 28860203 | 1975 |
| 1W | World | 28434027 | 1974 |
| 1W | World | 29107899 | 1973 |
| 1W | World | 28148781 | 1972 |
| 1W | World | 26263241 | 1971 |
| 1W | World | 27660218 | 1970 |
| 1W | World | NA | 1969 |
| 1W | World | NA | 1968 |
| 1W | World | NA | 1967 |
| 1W | World | NA | 1966 |
| 1W | World | NA | 1965 |
| 1W | World | NA | 1964 |
| 1W | World | NA | 1963 |
| 1W | World | NA | 1962 |
| 1W | World | NA | 1961 |
| 1W | World | NA | 1960 |
# Mapping function
OGS.MAP.WB = function(Worldbank_data, start_date, end_date, geoscale, geoname.filter){
Worldbank_data_OGS = Worldbank_data %>%
add_column(data.source = "World.Bank",
data.provider = "World.Bank",
geo.scale = geoscale,
sector = "All",
gas = "All",
geo.code.iso3c = NA,
unit = "MtCO₂e") %>%
rename(geo.code.iso2c = iso2c,
geo.name = country,
value = EN.ATM.GHGT.KT.CE) %>%
select(data.source, data.provider, geo.scale, geo.code.iso2c, geo.code.iso3c, geo.name,
year, sector, gas, value) %>%
filter(year >= start_date & year <= end_date) %>%
filter(geo.name == geoname.filter) %>%
mutate(value = value * 0.001)
return(Worldbank_data_OGS)
}
# mapping data
Worldbank_data_OGS = OGS.MAP.WB(Worldbank_data = ghg_emissions_wb,
start_date = 1970,
end_date = 2012,
geoscale = "World",
geoname.filter = "World" )
# plot timeserie
Worldbank_data_OGS %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "World GHG emissions (source: WRI - CAIT)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))The World Resources Institute compile various sources of GHG emissions and provide access to this data through a specific tool: CLIMAT WATCH. Climate Watch enables the exploration of historical GHG emissions data, downnload and collection via a specified API.
# load data
ghg_emissions_wri = read.csv("https://raw.githubusercontent.com/OpenGeoScales/CarbonData/feature-article/datasets/raw/wri/historical_emissions/historical_emissions.csv",
encoding = "UTF-8")Historic emission data is provided in wide format and contains emissions for various sectors and gases. The table below describes the data content.
| Column | Description |
|---|---|
| Country | The country name |
| Data.source | Five data sources: CAIT, PIK, GCP, UNFCCC_AI, UNFCCC_NAI |
| Sector | 30 categories of sectors: Total including LUCF,Total excluding LUCF, Total fossil fuels and cement, Electricity/Heat, Coal, Oil… |
| Gas | 8 categories of sectors: All GHG,KYOTOGHG, CO2, Aggregate GHGs, CH4, N2O, F-Gas , Aggregate F-gases |
| Unit | One unit: MtCO₂e |
| 1850 | Emission quantity in 1850 |
| 1851 | Emission quantity in 1850 |
| .. | Emission quantity in 1851 |
| 2019 | Emission quantity in 2019 |
Sector categories by data source:
We observe that sector catagories differ depending on data sources:
# get sectors from different data sources
sector_CAIT = ghg_emissions_wri %>%
filter(Data.source == "CAIT") %>%
distinct(Sector) %>%
select(Sector.CAIT = Sector) %>%
arrange(Sector.CAIT)
sector_PIK = ghg_emissions_wri %>%
# select PIK datasource
filter(Data.source == "PIK") %>%
distinct(Sector) %>%
select(Sector.PIK = Sector) %>%
arrange(Sector.PIK)
sector_GCP = ghg_emissions_wri %>%
# select GCP datasource
filter(Data.source == "GCP") %>%
distinct(Sector) %>%
select(Sector.GCP = Sector) %>%
arrange(Sector.GCP)
sector_UNFCCC_AI = ghg_emissions_wri %>%
# select UNFCCC_AI datasource
filter(Data.source == "UNFCCC_AI") %>%
distinct(Sector) %>%
select(Sector.UNFCCC_AI = Sector) %>%
arrange(Sector.UNFCCC_AI)
sector_UNFCCC_NAI = ghg_emissions_wri %>%
# select UNFCCC_NAI datasource
filter(Data.source == "UNFCCC_NAI") %>%
distinct(Sector) %>%
select(Sector.UNFCCC_NAI = Sector) %>%
arrange(Sector.UNFCCC_NAI)
# plot table
knitr::kable(list(sector_CAIT, sector_PIK, sector_GCP, sector_UNFCCC_AI, sector_UNFCCC_NAI)) %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 12) %>%
scroll_box(width = "100%", height = "200px")
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Gas categories by data source
We observe that gases catagories differ depending on data sources:
# get gas from different data sources
gas_CAIT = ghg_emissions_wri %>%
filter(Data.source == "CAIT") %>%
distinct(Gas) %>%
select(Gas.CAIT = Gas) %>%
arrange(Gas.CAIT)
gas_PIK = ghg_emissions_wri %>%
# select PIK datasource
filter(Data.source == "PIK") %>%
distinct(Gas) %>%
select(Gas.PIK = Gas) %>%
arrange(Gas.PIK)
gas_GCP = ghg_emissions_wri %>%
# select GCP datasource
filter(Data.source == "GCP") %>%
distinct(Gas) %>%
select(Gas.GCP = Gas) %>%
arrange(Gas.GCP)
gas_UNFCCC_AI = ghg_emissions_wri %>%
# select UNFCCC_AI datasource
filter(Data.source == "UNFCCC_AI") %>%
distinct(Gas) %>%
select(Gas.UNFCCC_AI = Gas) %>%
arrange(Gas.UNFCCC_AI)
gas_UNFCCC_NAI = ghg_emissions_wri %>%
# select UNFCCC_NAI datasource
filter(Data.source == "UNFCCC_NAI") %>%
distinct(Gas) %>%
select(Gas.UNFCCC_NAI = Gas) %>%
arrange(Gas.UNFCCC_NAI)
# plot table
knitr::kable(list(gas_CAIT, gas_PIK, gas_GCP, gas_UNFCCC_AI, gas_UNFCCC_NAI)) %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 12) %>%
scroll_box(width = "100%", height = "200px")
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Considered countries by data source
The number of considered countries is not the same depending on the data sources as shown in the table below:
ghg_emissions_wri %>%
group_by(Data.source) %>%
summarise(Nb.Country=length(unique(Country))) %>%
kable() %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 13) | Data.source | Nb.Country |
|---|---|
| CAIT | 195 |
| GCP | 196 |
| PIK | 216 |
| UNFCCC_AI | 45 |
| UNFCCC_NAI | 148 |
CAIT data source contains data for 193 distinct countries (all countries that are member states of the United Nations) with aggregated data on world scale (World) and European Union (European Union (27))
GCP data source contains data for the 193 countries members states of the United Nations plus the state of Palestine and aggregated data on world scale (World) and European Union (European Union (27))
PIK data source contains data for the 193 countries members states of the United Nations in addition to aggregated data on groups of countries such as: Umbrella Group, Least Developed Countries, Non-Annex-I Parties to the Convention, Annex-I Parties to the Convention…
UNFCCC Annex I data source contains data for 43 countries members of the Annex I convention with aggregated data on belonging parties (Annex-I Parties to the Convention) and European Union scale (European Union (27)).
UNFCCC Non-Annex I data source contains data for 148 countries that are parts of the non-Annex I convention.
CAIT Historic allow for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 191 countries and the European Union, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2014 and multi-sector greenhouse gas emission for 1990-2014.
More description is available here
All CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license. This means CAIT data and analysis can be used in non-commercial applications, provided clear attribution to WRI/CAIT is given. Additionally to citing CAIT it is recommended consider citing the data sources that CAIT is using.
CAIT 2.0 UNFCCC data derives directly from United Nations Framework Convention on Climate Change (UNFCCC) Secretariat. Additionally to citing CAIT 2.0 please consider citing UNFCCC data source that CAIT 2.0 is using: United Nations Framework Convention on Climate Change (UNFCCC) Secretariat. 2013. “Time Series – Annex I.” Bonn: UNFCCC.
# data processing
ghg_emissions_wri_CAIT = ghg_emissions_wri %>%
# select all world data & all gases data & total sector
filter(Data.source == "CAIT",
Country == "World",
Gas == "All GHG",
Sector == "Total including LUCF") %>%
# pivot data
pivot_longer(
cols = starts_with("X"),
names_to = "year",
names_prefix = "X",
values_to = "value") %>%
mutate_at("year" , as.numeric) %>%
arrange(year)
# plot table
ghg_emissions_wri_CAIT %>%
kable() %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 13) %>%
scroll_box(width = "100%", height = "200px")| Country | Data.source | Sector | Gas | Unit | year | value |
|---|---|---|---|---|---|---|
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1850 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1851 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1852 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1853 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1854 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1855 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1856 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1857 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1858 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1859 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1860 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1861 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1862 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1863 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1864 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1865 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1866 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1867 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1868 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1869 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1870 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1871 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1872 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1873 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1874 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1875 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1876 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1877 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1878 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1879 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1880 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1881 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1882 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1883 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1884 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1885 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1886 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1887 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1888 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1889 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1890 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1891 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1892 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1893 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1894 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1895 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1896 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1897 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1898 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1899 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1900 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1901 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1902 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1903 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1904 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1905 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1906 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1907 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1908 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1909 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1910 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1911 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1912 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1913 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1914 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1915 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1916 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1917 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1918 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1919 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1920 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1921 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1922 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1923 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1924 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1925 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1926 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1927 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1928 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1929 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1930 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1931 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1932 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1933 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1934 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1935 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1936 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1937 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1938 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1939 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1940 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1941 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1942 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1943 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1944 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1945 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1946 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1947 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1948 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1949 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1950 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1951 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1952 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1953 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1954 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1955 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1956 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1957 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1958 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1959 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1960 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1961 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1962 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1963 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1964 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1965 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1966 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1967 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1968 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1969 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1970 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1971 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1972 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1973 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1974 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1975 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1976 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1977 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1978 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1979 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1980 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1981 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1982 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1983 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1984 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1985 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1986 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1987 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1988 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1989 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1990 | 34964.58 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1991 | 35125.92 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1992 | 34982.15 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1993 | 35080.3 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1994 | 35283.88 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1995 | 36004.23 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1996 | 36022.1 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1997 | 37338.36 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1998 | 36981.63 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 1999 | 36817.13 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2000 | 37438.04 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2001 | 38396.69 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2002 | 39855.92 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2003 | 40703.74 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2004 | 42477.66 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2005 | 43360.31 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2006 | 43739.49 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2007 | 44590.03 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2008 | 44953.73 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2009 | 44907.04 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2010 | 46637.83 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2011 | 47915.71 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2012 | 48477.53 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2013 | 49037.46 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2014 | 49494.56 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2015 | 49828.88 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2016 | 49312.19 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2017 | 49947.42 |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2018 | N/A |
| World | CAIT | Total including LUCF | All GHG | MtCO2e | 2019 | N/A |
OGS.MAP.WRI.CAIT = function(wri_data, start_date, end_date, geoscale, datasource.filter, geoname.filter, gas.filter, sector.filter){
wri_data_OGS = wri_data %>%
filter(Data.source == datasource.filter,
Country == geoname.filter) %>%
# recode sectors and gas values
mutate(sector = fct_collapse(Sector, "All" = "Total including LUCF"),
gas = fct_collapse(Gas, "All" = "All GHG")) %>%
# filter gas and sector
filter(sector == sector.filter,
gas == gas.filter) %>%
# pivot data
pivot_longer(
cols = starts_with("X"),
names_to = "year",
names_prefix = "X",
values_to = "value") %>%
mutate_at("year" , as.numeric) %>%
arrange(year) %>%
add_column(data.provider = "WRI.CAIT",
geo.scale = geoscale,
geo.code.iso3c = NA,
geo.code.iso2c = NA,
unit = "MtCO₂e") %>%
rename(data.source = Data.source,
geo.name = Country,
value = value) %>%
select(data.source, data.provider, geo.scale, geo.code.iso2c, geo.code.iso3c, geo.name,
year, sector, gas, value) %>%
filter(year >= start_date & year <= end_date) %>%
mutate_at("value" , as.numeric)
return(wri_data_OGS)
}
wri_data_OGS = OGS.MAP.WRI.CAIT(wri_data = ghg_emissions_wri,
datasource.filter = "CAIT",
geoname.filter = "World",
gas.filter = "All",
sector.filter = "All",
geoscale = "World",
start_date = 1990,
end_date = 2016)
# plot timeserie
wri_data_OGS %>%
# filter(year >= 1990 & year < 2017) %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "World GHG emissions (source: WRI - CAIT)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))# read co2 data
ghg_emissions_owid= read.csv("https://raw.githubusercontent.com/owid/co2-data/master/owid-co2-data.csv",
encoding = "UTF-8")# plot table
ghg_emissions_owid %>%
filter(country == "World") %>%
kable() %>%
kable_styling(bootstrap_options = c("striped", "hover"), full_width = F, font_size = 13) %>%
scroll_box(width = "100%", height = "200px")| iso_code | country | year | co2 | co2_growth_prct | co2_growth_abs | consumption_co2 | trade_co2 | trade_co2_share | co2_per_capita | consumption_co2_per_capita | share_global_co2 | cumulative_co2 | share_global_cumulative_co2 | co2_per_gdp | consumption_co2_per_gdp | co2_per_unit_energy | cement_co2 | coal_co2 | flaring_co2 | gas_co2 | oil_co2 | other_industry_co2 | cement_co2_per_capita | coal_co2_per_capita | flaring_co2_per_capita | gas_co2_per_capita | oil_co2_per_capita | other_co2_per_capita | share_global_coal_co2 | share_global_oil_co2 | share_global_gas_co2 | share_global_flaring_co2 | share_global_cement_co2 | cumulative_coal_co2 | cumulative_oil_co2 | cumulative_gas_co2 | cumulative_flaring_co2 | cumulative_cement_co2 | share_global_cumulative_coal_co2 | share_global_cumulative_oil_co2 | share_global_cumulative_gas_co2 | share_global_cumulative_flaring_co2 | share_global_cumulative_cement_co2 | total_ghg | ghg_per_capita | methane | methane_per_capita | nitrous_oxide | nitrous_oxide_per_capita | primary_energy_consumption | energy_per_capita | energy_per_gdp | population | gdp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OWID_WRL | World | 1750 | 9.351 | NA | NA | NA | NA | NA | 0.012 | NA | 100 | 9.351 | 100 | NA | NA | NA | NA | 9.351 | NA | NA | NA | NA | NA | 0.012 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 9.351 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 811562112 | NA |
| OWID_WRL | World | 1751 | 9.351 | NA | NA | NA | NA | NA | NA | NA | 100 | 18.701 | 100 | NA | NA | NA | NA | 9.351 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 18.701 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1752 | 9.354 | 0.039 | 0.004 | NA | NA | NA | NA | NA | 100 | 28.055 | 100 | NA | NA | NA | NA | 9.354 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 28.055 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1753 | 9.354 | NA | NA | NA | NA | NA | NA | NA | 100 | 37.409 | 100 | NA | NA | NA | NA | 9.354 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 37.409 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1754 | 9.358 | 0.039 | 0.004 | NA | NA | NA | NA | NA | 100 | 46.767 | 100 | NA | NA | NA | NA | 9.358 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 46.767 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1755 | 9.362 | 0.039 | 0.004 | NA | NA | NA | NA | NA | 100 | 56.129 | 100 | NA | NA | NA | NA | 9.362 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 56.129 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1756 | 10.006 | 6.888 | 0.645 | NA | NA | NA | NA | NA | 100 | 66.135 | 100 | NA | NA | NA | NA | 10.006 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 66.135 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1757 | 10.010 | 0.037 | 0.004 | NA | NA | NA | NA | NA | 100 | 76.145 | 100 | NA | NA | NA | NA | 10.010 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 76.145 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1758 | 10.014 | 0.037 | 0.004 | NA | NA | NA | NA | NA | 100 | 86.159 | 100 | NA | NA | NA | NA | 10.014 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 86.159 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1759 | 10.017 | 0.037 | 0.004 | NA | NA | NA | NA | NA | 100 | 96.176 | 100 | NA | NA | NA | NA | 10.017 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 96.176 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1760 | 10.017 | NA | NA | NA | NA | NA | NA | NA | 100 | 106.194 | 100 | NA | NA | NA | NA | 10.017 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 106.194 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1761 | 10.974 | 9.546 | 0.956 | NA | NA | NA | NA | NA | 100 | 117.167 | 100 | NA | NA | NA | NA | 10.974 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 117.167 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1762 | 10.977 | 0.033 | 0.004 | NA | NA | NA | NA | NA | 100 | 128.145 | 100 | NA | NA | NA | NA | 10.977 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 128.145 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1763 | 10.981 | 0.033 | 0.004 | NA | NA | NA | NA | NA | 100 | 139.126 | 100 | NA | NA | NA | NA | 10.981 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 139.126 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1764 | 10.985 | 0.033 | 0.004 | NA | NA | NA | NA | NA | 100 | 150.110 | 100 | NA | NA | NA | NA | 10.985 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 150.110 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1765 | 10.988 | 0.033 | 0.004 | NA | NA | NA | NA | NA | 100 | 161.099 | 100 | NA | NA | NA | NA | 10.988 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 161.099 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1766 | 12.260 | 11.571 | 1.271 | NA | NA | NA | NA | NA | 100 | 173.358 | 100 | NA | NA | NA | NA | 12.260 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 173.358 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1767 | 12.263 | 0.030 | 0.004 | NA | NA | NA | NA | NA | 100 | 185.622 | 100 | NA | NA | NA | NA | 12.263 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 185.622 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1768 | 12.267 | 0.030 | 0.004 | NA | NA | NA | NA | NA | 100 | 197.889 | 100 | NA | NA | NA | NA | 12.267 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 197.889 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1769 | 12.271 | 0.030 | 0.004 | NA | NA | NA | NA | NA | 100 | 210.160 | 100 | NA | NA | NA | NA | 12.271 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 210.160 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1770 | 12.274 | 0.030 | 0.004 | NA | NA | NA | NA | NA | 100 | 222.434 | 100 | NA | NA | NA | NA | 12.274 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 222.434 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1771 | 13.612 | 10.896 | 1.337 | NA | NA | NA | NA | NA | 100 | 236.046 | 100 | NA | NA | NA | NA | 13.612 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 236.046 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1772 | 13.615 | 0.027 | 0.004 | NA | NA | NA | NA | NA | 100 | 249.661 | 100 | NA | NA | NA | NA | 13.615 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 249.661 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1773 | 13.619 | 0.027 | 0.004 | NA | NA | NA | NA | NA | 100 | 263.280 | 100 | NA | NA | NA | NA | 13.619 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 263.280 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1774 | 13.623 | 0.027 | 0.004 | NA | NA | NA | NA | NA | 100 | 276.903 | 100 | NA | NA | NA | NA | 13.623 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 276.903 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1775 | 13.626 | 0.027 | 0.004 | NA | NA | NA | NA | NA | 100 | 290.530 | 100 | NA | NA | NA | NA | 13.626 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 290.530 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1776 | 15.037 | 10.352 | 1.411 | NA | NA | NA | NA | NA | 100 | 305.567 | 100 | NA | NA | NA | NA | 15.037 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 305.567 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1777 | 15.041 | 0.024 | 0.004 | NA | NA | NA | NA | NA | 100 | 320.607 | 100 | NA | NA | NA | NA | 15.041 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 320.607 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1778 | 15.044 | 0.024 | 0.004 | NA | NA | NA | NA | NA | 100 | 335.652 | 100 | NA | NA | NA | NA | 15.044 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 335.652 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1779 | 15.048 | 0.024 | 0.004 | NA | NA | NA | NA | NA | 100 | 350.700 | 100 | NA | NA | NA | NA | 15.048 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 350.700 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1780 | 15.055 | 0.049 | 0.007 | NA | NA | NA | NA | NA | 100 | 365.755 | 100 | NA | NA | NA | NA | 15.055 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 365.755 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1781 | 16.843 | 11.876 | 1.788 | NA | NA | NA | NA | NA | 100 | 382.599 | 100 | NA | NA | NA | NA | 16.843 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 382.599 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1782 | 16.847 | 0.022 | 0.004 | NA | NA | NA | NA | NA | 100 | 399.446 | 100 | NA | NA | NA | NA | 16.847 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 399.446 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1783 | 16.854 | 0.043 | 0.007 | NA | NA | NA | NA | NA | 100 | 416.300 | 100 | NA | NA | NA | NA | 16.854 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 416.300 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1784 | 16.858 | 0.022 | 0.004 | NA | NA | NA | NA | NA | 100 | 433.158 | 100 | NA | NA | NA | NA | 16.858 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 433.158 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1785 | 16.869 | 0.065 | 0.011 | NA | NA | NA | NA | NA | 100 | 450.027 | 100 | NA | NA | NA | NA | 16.869 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 450.027 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1786 | 19.152 | 13.532 | 2.283 | NA | NA | NA | NA | NA | 100 | 469.179 | 100 | NA | NA | NA | NA | 19.152 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 469.179 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1787 | 19.159 | 0.038 | 0.007 | NA | NA | NA | NA | NA | 100 | 488.338 | 100 | NA | NA | NA | NA | 19.159 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 488.338 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1788 | 19.163 | 0.019 | 0.004 | NA | NA | NA | NA | NA | 100 | 507.501 | 100 | NA | NA | NA | NA | 19.163 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 507.501 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1789 | 19.170 | 0.038 | 0.007 | NA | NA | NA | NA | NA | 100 | 526.671 | 100 | NA | NA | NA | NA | 19.170 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 526.671 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1790 | 19.177 | 0.038 | 0.007 | NA | NA | NA | NA | NA | 100 | 545.848 | 100 | NA | NA | NA | NA | 19.177 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 545.848 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1791 | 21.420 | 11.693 | 2.242 | NA | NA | NA | NA | NA | 100 | 567.268 | 100 | NA | NA | NA | NA | 21.420 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 567.268 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1792 | 21.896 | 2.224 | 0.476 | NA | NA | NA | NA | NA | 100 | 589.164 | 100 | NA | NA | NA | NA | 21.896 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 589.164 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1793 | 21.914 | 0.084 | 0.018 | NA | NA | NA | NA | NA | 100 | 611.078 | 100 | NA | NA | NA | NA | 21.914 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 611.078 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1794 | 21.881 | -0.150 | -0.033 | NA | NA | NA | NA | NA | 100 | 632.960 | 100 | NA | NA | NA | NA | 21.881 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 632.960 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1795 | 21.892 | 0.050 | 0.011 | NA | NA | NA | NA | NA | 100 | 654.852 | 100 | NA | NA | NA | NA | 21.892 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 654.852 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1796 | 22.951 | 4.837 | 1.059 | NA | NA | NA | NA | NA | 100 | 677.803 | 100 | NA | NA | NA | NA | 22.951 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 677.803 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1797 | 24.094 | 4.981 | 1.143 | NA | NA | NA | NA | NA | 100 | 701.898 | 100 | NA | NA | NA | NA | 24.094 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 701.898 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1798 | 25.095 | 4.151 | 1.000 | NA | NA | NA | NA | NA | 100 | 726.993 | 100 | NA | NA | NA | NA | 25.095 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 726.993 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1799 | 26.428 | 5.315 | 1.334 | NA | NA | NA | NA | NA | 100 | 753.421 | 100 | NA | NA | NA | NA | 26.428 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 753.421 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1800 | 28.092 | 6.294 | 1.663 | NA | NA | NA | 0.028 | NA | 100 | 781.513 | 100 | NA | NA | NA | NA | 28.092 | NA | NA | NA | NA | NA | 0.028 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 781.513 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 989818304 | NA |
| OWID_WRL | World | 1801 | 27.960 | -0.470 | -0.132 | NA | NA | NA | NA | NA | 100 | 809.473 | 100 | NA | NA | NA | NA | 27.960 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 809.473 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1802 | 36.783 | 31.555 | 8.823 | NA | NA | NA | NA | NA | 100 | 846.256 | 100 | NA | NA | NA | NA | 36.783 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 846.256 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1803 | 31.488 | -14.394 | -5.294 | NA | NA | NA | NA | NA | 100 | 877.744 | 100 | NA | NA | NA | NA | 31.488 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 877.744 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1804 | 34.310 | 8.960 | 2.821 | NA | NA | NA | NA | NA | 100 | 912.054 | 100 | NA | NA | NA | NA | 34.310 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 912.054 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1805 | 33.419 | -2.595 | -0.890 | NA | NA | NA | NA | NA | 100 | 945.473 | 100 | NA | NA | NA | NA | 33.419 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 945.473 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1806 | 35.046 | 4.868 | 1.627 | NA | NA | NA | NA | NA | 100 | 980.519 | 100 | NA | NA | NA | NA | 35.046 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 980.519 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1807 | 36.874 | 5.217 | 1.828 | NA | NA | NA | NA | NA | 100 | 1017.394 | 100 | NA | NA | NA | NA | 36.874 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1017.394 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1808 | 35.064 | -4.909 | -1.810 | NA | NA | NA | NA | NA | 100 | 1052.458 | 100 | NA | NA | NA | NA | 35.064 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1052.458 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1809 | 35.090 | 0.073 | 0.026 | NA | NA | NA | NA | NA | 100 | 1087.548 | 100 | NA | NA | NA | NA | 35.090 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1087.548 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1810 | 37.380 | 6.526 | 2.290 | NA | NA | NA | NA | NA | 100 | 1124.929 | 100 | NA | NA | NA | NA | 37.380 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1124.929 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1811 | 39.582 | 5.891 | 2.202 | NA | NA | NA | NA | NA | 100 | 1164.511 | 100 | NA | NA | NA | NA | 39.582 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1164.511 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1812 | 41.007 | 3.601 | 1.425 | NA | NA | NA | NA | NA | 100 | 1205.518 | 100 | NA | NA | NA | NA | 41.007 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1205.518 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1813 | 41.220 | 0.518 | 0.213 | NA | NA | NA | NA | NA | 100 | 1246.738 | 100 | NA | NA | NA | NA | 41.220 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1246.738 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1814 | 42.129 | 2.204 | 0.909 | NA | NA | NA | NA | NA | 100 | 1288.867 | 100 | NA | NA | NA | NA | 42.129 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1288.867 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1815 | 43.488 | 3.227 | 1.359 | NA | NA | NA | NA | NA | 100 | 1332.355 | 100 | NA | NA | NA | NA | 43.488 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1332.355 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1816 | 47.665 | 9.605 | 4.177 | NA | NA | NA | NA | NA | 100 | 1380.020 | 100 | NA | NA | NA | NA | 47.665 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1380.020 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1817 | 49.431 | 3.705 | 1.766 | NA | NA | NA | NA | NA | 100 | 1429.451 | 100 | NA | NA | NA | NA | 49.431 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1429.451 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1818 | 49.644 | 0.430 | 0.213 | NA | NA | NA | NA | NA | 100 | 1479.095 | 100 | NA | NA | NA | NA | 49.644 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1479.095 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1819 | 49.948 | 0.613 | 0.304 | NA | NA | NA | NA | NA | 100 | 1529.042 | 100 | NA | NA | NA | NA | 49.948 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1529.042 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1820 | 50.688 | 1.482 | 0.740 | NA | NA | NA | NA | NA | 100 | 1579.730 | 100 | NA | NA | NA | NA | 50.688 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1579.730 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1821 | 51.435 | 1.475 | 0.747 | NA | NA | NA | NA | NA | 100 | 1631.165 | 100 | NA | NA | NA | NA | 51.435 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1631.165 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1822 | 53.465 | 3.946 | 2.030 | NA | NA | NA | NA | NA | 100 | 1684.630 | 100 | NA | NA | NA | NA | 53.465 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1684.630 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1823 | 56.550 | 5.770 | 3.085 | NA | NA | NA | NA | NA | 100 | 1741.180 | 100 | NA | NA | NA | NA | 56.550 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1741.180 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1824 | 58.525 | 3.492 | 1.975 | NA | NA | NA | NA | NA | 100 | 1799.706 | 100 | NA | NA | NA | NA | 58.525 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1799.706 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1825 | 60.756 | 3.813 | 2.231 | NA | NA | NA | NA | NA | 100 | 1860.462 | 100 | NA | NA | NA | NA | 60.756 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1860.462 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1826 | 61.420 | 1.092 | 0.663 | NA | NA | NA | NA | NA | 100 | 1921.882 | 100 | NA | NA | NA | NA | 61.420 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1921.882 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1827 | 65.915 | 7.320 | 4.496 | NA | NA | NA | NA | NA | 100 | 1987.797 | 100 | NA | NA | NA | NA | 65.915 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 1987.797 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1828 | 66.637 | 1.095 | 0.722 | NA | NA | NA | NA | NA | 100 | 2054.434 | 100 | NA | NA | NA | NA | 66.637 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2054.434 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1829 | 66.395 | -0.363 | -0.242 | NA | NA | NA | NA | NA | 100 | 2120.829 | 100 | NA | NA | NA | NA | 66.395 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2120.829 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1830 | 89.123 | 34.231 | 22.728 | NA | NA | NA | NA | NA | 100 | 2209.953 | 100 | NA | NA | NA | NA | 89.123 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2209.953 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1831 | 84.528 | -5.155 | -4.595 | NA | NA | NA | NA | NA | 100 | 2294.481 | 100 | NA | NA | NA | NA | 84.528 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2294.481 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1832 | 85.111 | 0.689 | 0.583 | NA | NA | NA | NA | NA | 100 | 2379.592 | 100 | NA | NA | NA | NA | 85.111 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2379.592 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1833 | 86.807 | 1.993 | 1.696 | NA | NA | NA | NA | NA | 100 | 2466.400 | 100 | NA | NA | NA | NA | 86.807 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2466.400 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1834 | 88.486 | 1.933 | 1.678 | NA | NA | NA | NA | NA | 100 | 2554.885 | 100 | NA | NA | NA | NA | 88.486 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2554.885 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1835 | 90.446 | 2.215 | 1.960 | NA | NA | NA | NA | NA | 100 | 2645.331 | 100 | NA | NA | NA | NA | 90.446 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2645.331 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1836 | 104.776 | 15.844 | 14.330 | NA | NA | NA | NA | NA | 100 | 2750.107 | 100 | NA | NA | NA | NA | 104.776 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2750.107 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1837 | 104.691 | -0.080 | -0.084 | NA | NA | NA | NA | NA | 100 | 2854.798 | 100 | NA | NA | NA | NA | 104.691 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2854.798 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1838 | 108.044 | 3.202 | 3.353 | NA | NA | NA | NA | NA | 100 | 2962.842 | 100 | NA | NA | NA | NA | 108.044 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 2962.842 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1839 | 111.613 | 3.303 | 3.569 | NA | NA | NA | NA | NA | 100 | 3074.455 | 100 | NA | NA | NA | NA | 111.613 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3074.455 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1840 | 118.930 | 6.556 | 7.317 | NA | NA | NA | NA | NA | 100 | 3193.385 | 100 | NA | NA | NA | NA | 118.930 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3193.385 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1841 | 122.619 | 3.102 | 3.690 | NA | NA | NA | NA | NA | 100 | 3316.004 | 100 | NA | NA | NA | NA | 122.619 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3316.004 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1842 | 129.504 | 5.615 | 6.885 | NA | NA | NA | NA | NA | 100 | 3445.508 | 100 | NA | NA | NA | NA | 129.504 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3445.508 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1843 | 132.853 | 2.586 | 3.349 | NA | NA | NA | NA | NA | 100 | 3578.361 | 100 | NA | NA | NA | NA | 132.853 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3578.361 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1844 | 141.423 | 6.451 | 8.570 | NA | NA | NA | NA | NA | 100 | 3719.784 | 100 | NA | NA | NA | NA | 141.423 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3719.784 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1845 | 155.211 | 9.749 | 13.788 | NA | NA | NA | NA | NA | 100 | 3874.995 | 100 | NA | NA | NA | NA | 155.211 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 3874.995 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1846 | 157.794 | 1.664 | 2.583 | NA | NA | NA | NA | NA | 100 | 4032.789 | 100 | NA | NA | NA | NA | 157.794 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4032.789 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1847 | 172.402 | 9.258 | 14.608 | NA | NA | NA | NA | NA | 100 | 4205.191 | 100 | NA | NA | NA | NA | 172.402 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4205.191 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1848 | 173.816 | 0.820 | 1.414 | NA | NA | NA | NA | NA | 100 | 4379.008 | 100 | NA | NA | NA | NA | 173.816 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4379.008 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1849 | 183.511 | 5.578 | 9.695 | NA | NA | NA | NA | NA | 100 | 4562.519 | 100 | NA | NA | NA | NA | 183.511 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4562.519 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1850 | 196.896 | 7.294 | 13.385 | NA | NA | NA | 0.156 | NA | 100 | 4759.415 | 100 | NA | NA | NA | NA | 196.896 | NA | NA | NA | NA | NA | 0.156 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4759.415 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1262682112 | NA |
| OWID_WRL | World | 1851 | 198.805 | 0.970 | 1.909 | NA | NA | NA | NA | NA | 100 | 4958.220 | 100 | NA | NA | NA | NA | 198.805 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 4958.220 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1852 | 207.551 | 4.399 | 8.746 | NA | NA | NA | NA | NA | 100 | 5165.771 | 100 | NA | NA | NA | NA | 207.551 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 5165.771 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1853 | 217.209 | 4.653 | 9.658 | NA | NA | NA | NA | NA | 100 | 5382.980 | 100 | NA | NA | NA | NA | 217.209 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 5382.980 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1854 | 255.139 | 17.462 | 37.930 | NA | NA | NA | NA | NA | 100 | 5638.119 | 100 | NA | NA | NA | NA | 255.139 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 100 | NA | NA | NA | NA | 5638.119 | NA | NA | NA | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1855 | 260.166 | 1.970 | 5.027 | NA | NA | NA | NA | NA | 100 | 5898.285 | 100 | NA | NA | NA | NA | 260.129 | NA | NA | 0.037 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 5898.249 | 0.037 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1856 | 277.292 | 6.583 | 17.126 | NA | NA | NA | NA | NA | 100 | 6175.577 | 100 | NA | NA | NA | NA | 277.251 | NA | NA | 0.040 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 6175.500 | 0.077 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1857 | 279.889 | 0.937 | 2.598 | NA | NA | NA | NA | NA | 100 | 6455.466 | 100 | NA | NA | NA | NA | 279.838 | NA | NA | 0.051 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 6455.338 | 0.128 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1858 | 284.172 | 1.530 | 4.283 | NA | NA | NA | NA | NA | 100 | 6739.638 | 100 | NA | NA | NA | NA | 284.110 | NA | NA | 0.062 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 6739.448 | 0.191 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1859 | 301.313 | 6.032 | 17.141 | NA | NA | NA | NA | NA | 100 | 7040.951 | 100 | NA | NA | NA | NA | 301.258 | NA | NA | 0.055 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 7040.705 | 0.245 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1860 | 330.642 | 9.734 | 29.330 | NA | NA | NA | NA | NA | 100 | 7371.593 | 100 | NA | NA | NA | NA | 330.369 | NA | NA | 0.274 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 7371.074 | 0.519 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1861 | 347.735 | 5.170 | 17.093 | NA | NA | NA | NA | NA | 100 | 7719.329 | 100 | NA | NA | NA | NA | 346.794 | NA | NA | 0.942 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 7717.868 | 1.461 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1862 | 354.058 | 1.818 | 6.322 | NA | NA | NA | NA | NA | 100 | 8073.387 | 100 | NA | NA | NA | NA | 352.659 | NA | NA | 1.399 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 8070.526 | 2.860 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1863 | 377.860 | 6.723 | 23.803 | NA | NA | NA | NA | NA | 100 | 8451.247 | 100 | NA | NA | NA | NA | 376.566 | NA | NA | 1.294 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 8447.093 | 4.154 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1864 | 407.091 | 7.736 | 29.231 | NA | NA | NA | NA | NA | 100 | 8858.338 | 100 | NA | NA | NA | NA | 405.981 | NA | NA | 1.111 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 8853.073 | 5.265 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1865 | 432.308 | 6.194 | 25.217 | NA | NA | NA | NA | NA | 100 | 9290.646 | 100 | NA | NA | NA | NA | 430.987 | NA | NA | 1.321 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 9284.061 | 6.585 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1866 | 445.971 | 3.160 | 13.663 | NA | NA | NA | NA | NA | 100 | 9736.617 | 100 | NA | NA | NA | NA | 444.017 | NA | NA | 1.954 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 9728.078 | 8.539 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1867 | 477.815 | 7.140 | 31.844 | NA | NA | NA | NA | NA | 100 | 10214.432 | 100 | NA | NA | NA | NA | 475.828 | NA | NA | 1.987 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 10203.906 | 10.526 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1868 | 490.752 | 2.708 | 12.938 | NA | NA | NA | NA | NA | 100 | 10705.185 | 100 | NA | NA | NA | NA | 488.461 | NA | NA | 2.291 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 10692.367 | 12.817 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1869 | 521.131 | 6.190 | 30.378 | NA | NA | NA | NA | NA | 100 | 11226.315 | 100 | NA | NA | NA | NA | 518.513 | NA | NA | 2.617 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 11210.881 | 15.435 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1870 | 532.537 | 2.189 | 11.406 | NA | NA | NA | NA | NA | 100 | 11758.852 | 100 | 0.416 | NA | NA | NA | 529.401 | NA | NA | 3.136 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 11740.281 | 18.571 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1.28061e+12 |
| OWID_WRL | World | 1871 | 566.143 | 6.311 | 33.606 | NA | NA | NA | NA | NA | 100 | 12324.995 | 100 | NA | NA | NA | NA | 562.858 | NA | NA | 3.285 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 12303.139 | 21.856 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1872 | 626.372 | 10.638 | 60.229 | NA | NA | NA | NA | NA | 100 | 12951.367 | 100 | NA | NA | NA | NA | 622.670 | NA | NA | 3.702 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 12925.809 | 25.558 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1873 | 665.419 | 6.234 | 39.047 | NA | NA | NA | NA | NA | 100 | 13616.786 | 100 | NA | NA | NA | NA | 659.745 | NA | NA | 5.674 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 13585.554 | 31.232 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1874 | 622.997 | -6.375 | -42.422 | NA | NA | NA | NA | NA | 100 | 14239.783 | 100 | NA | NA | NA | NA | 616.748 | NA | NA | 6.249 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 14202.302 | 37.481 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1875 | 675.799 | 8.475 | 52.802 | NA | NA | NA | NA | NA | 100 | 14915.582 | 100 | NA | NA | NA | NA | 669.957 | NA | NA | 5.843 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 14872.258 | 43.324 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1876 | 685.553 | 1.443 | 9.754 | NA | NA | NA | NA | NA | 100 | 15601.135 | 100 | NA | NA | NA | NA | 679.007 | NA | NA | 6.545 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 15551.266 | 49.869 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1877 | 699.099 | 1.976 | 13.546 | NA | NA | NA | NA | NA | 100 | 16300.233 | 100 | NA | NA | NA | NA | 690.264 | NA | NA | 8.835 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 16241.529 | 58.704 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1878 | 704.383 | 0.756 | 5.284 | NA | NA | NA | NA | NA | 100 | 17004.616 | 100 | NA | NA | NA | NA | 694.328 | NA | NA | 10.054 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 16935.858 | 68.758 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1879 | 754.870 | 7.168 | 50.488 | NA | NA | NA | NA | NA | 100 | 17759.486 | 100 | NA | NA | NA | NA | 742.195 | NA | NA | 12.675 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 17678.053 | 81.433 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1880 | 853.708 | 13.093 | 98.838 | NA | NA | NA | NA | NA | 100 | 18613.194 | 100 | NA | NA | NA | NA | 838.326 | NA | NA | 15.382 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 18516.379 | 96.815 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1881 | 882.408 | 3.362 | 28.700 | NA | NA | NA | NA | NA | 100 | 19495.602 | 100 | NA | NA | NA | NA | 865.143 | NA | NA | 17.265 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | NA | NA | NA | 19381.522 | 114.080 | NA | NA | NA | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1882 | 931.925 | 5.612 | 49.517 | NA | NA | NA | NA | NA | 100 | 20427.528 | 100 | NA | NA | NA | NA | 912.796 | NA | 0.165 | 18.964 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 20294.319 | 133.044 | 0.165 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1883 | 991.036 | 6.343 | 59.111 | NA | NA | NA | NA | NA | 100 | 21418.564 | 100 | NA | NA | NA | NA | 974.126 | NA | 0.381 | 16.529 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 21268.445 | 149.573 | 0.546 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1884 | 1002.179 | 1.124 | 11.142 | NA | NA | NA | NA | NA | 100 | 22420.742 | 100 | NA | NA | NA | NA | 982.645 | NA | 1.172 | 18.361 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 22251.090 | 167.934 | 1.718 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1885 | 1009.675 | 0.748 | 7.497 | NA | NA | NA | NA | NA | 100 | 23430.418 | 100 | NA | NA | NA | NA | 986.953 | NA | 3.715 | 19.007 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 23238.043 | 186.941 | 5.434 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1886 | 1025.480 | 1.565 | 15.804 | NA | NA | NA | NA | NA | 100 | 24455.897 | 100 | NA | NA | NA | NA | 995.930 | NA | 7.676 | 21.873 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 24233.973 | 208.815 | 13.110 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1887 | 1076.762 | 5.001 | 51.283 | NA | NA | NA | NA | NA | 100 | 25532.660 | 100 | NA | NA | NA | NA | 1041.434 | NA | 11.787 | 23.541 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 25275.407 | 232.356 | 24.897 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1888 | 1192.277 | 10.728 | 115.515 | NA | NA | NA | NA | NA | 100 | 26724.937 | 100 | NA | NA | NA | NA | 1150.859 | NA | 16.774 | 24.644 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 26426.266 | 257.000 | 41.671 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1889 | 1191.805 | -0.040 | -0.471 | NA | NA | NA | NA | NA | 100 | 27916.742 | 100 | NA | NA | NA | NA | 1151.106 | NA | 12.227 | 28.473 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 27577.372 | 285.473 | 53.897 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1890 | 1298.465 | 8.949 | 106.659 | NA | NA | NA | NA | NA | 100 | 29215.207 | 100 | 0.593 | NA | NA | NA | 1252.048 | NA | 11.688 | 34.728 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 28829.420 | 320.201 | 65.585 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2.18872e+12 |
| OWID_WRL | World | 1891 | 1358.881 | 4.653 | 60.416 | NA | NA | NA | NA | NA | 100 | 30574.088 | 100 | NA | NA | NA | NA | 1309.013 | NA | 8.947 | 40.921 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 30138.433 | 361.122 | 74.533 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1892 | 1370.085 | 0.824 | 11.204 | NA | NA | NA | NA | NA | 100 | 31944.172 | 100 | NA | NA | NA | NA | 1322.020 | NA | 7.775 | 40.289 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 31460.453 | 401.411 | 82.308 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1893 | 1353.676 | -1.198 | -16.408 | NA | NA | NA | NA | NA | 100 | 33297.849 | 100 | NA | NA | NA | NA | 1303.732 | NA | 7.288 | 42.657 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 32764.185 | 444.068 | 89.596 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1894 | 1400.866 | 3.486 | 47.190 | NA | NA | NA | NA | NA | 100 | 34698.715 | 100 | NA | NA | NA | NA | 1352.360 | NA | 6.698 | 41.808 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 34116.545 | 485.877 | 96.294 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1895 | 1485.283 | 6.026 | 84.417 | NA | NA | NA | NA | NA | 100 | 36183.998 | 100 | NA | NA | NA | NA | 1429.571 | NA | 7.042 | 48.671 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 35546.115 | 534.547 | 103.336 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1896 | 1533.713 | 3.261 | 48.430 | NA | NA | NA | NA | NA | 100 | 37717.712 | 100 | NA | NA | NA | NA | 1474.161 | NA | 6.848 | 52.704 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 37020.276 | 587.252 | 110.184 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1897 | 1606.313 | 4.734 | 72.600 | NA | NA | NA | NA | NA | 100 | 39324.025 | 100 | NA | NA | NA | NA | 1543.341 | NA | 7.288 | 55.684 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 38563.618 | 642.936 | 117.471 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1898 | 1694.280 | 5.476 | 87.967 | NA | NA | NA | NA | NA | 100 | 41018.304 | 100 | NA | NA | NA | NA | 1628.475 | NA | 8.460 | 57.345 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 40192.093 | 700.280 | 125.931 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1899 | 1850.909 | 9.245 | 156.629 | NA | NA | NA | NA | NA | 100 | 42869.213 | 100 | NA | NA | NA | NA | 1779.779 | NA | 10.904 | 60.226 | NA | NA | NA | NA | NA | NA | NA | 100 | 100 | 100 | NA | NA | 41971.871 | 760.506 | 136.836 | NA | NA | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| OWID_WRL | World | 1900 | 1953.614 | 5.549 | 102.705 | NA | NA | NA | 1.184 | NA | 100 | 44822.827 | 100 | NA | NA | NA | 1.386 | 1873.155 | NA | 11.542 | 67.532 | NA | 0.001 | 1.135 | NA | 0.007 | 0.041 | NA | 100 | 100 | 100 | NA | 100 | 43845.026 | 828.038 | 148.377 | NA | 1.386 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1650000000 | NA |
| OWID_WRL | World | 1901 | 2018.421 | 3.317 | 64.806 | NA | NA | NA | 1.216 | NA | 100 | 46841.248 | 100 | NA | NA | NA | 1.656 | 1928.919 | NA | 12.861 | 74.985 | NA | 0.001 | 1.162 | NA | 0.008 | 0.045 | NA | 100 | 100 | 100 | NA | 100 | 45773.945 | 903.023 | 161.238 | NA | 3.042 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1659947520 | NA |
| OWID_WRL | World | 1902 | 2069.946 | 2.553 | 51.526 | NA | NA | NA | 1.239 | NA | 100 | 48911.194 | 100 | NA | NA | NA | 2.145 | 1973.072 | NA | 13.696 | 81.033 | NA | 0.001 | 1.181 | NA | 0.008 | 0.049 | NA | 100 | 100 | 100 | NA | 100 | 47747.017 | 984.056 | 174.934 | NA | 5.187 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1669996544 | NA |
| OWID_WRL | World | 1903 | 2258.613 | 9.115 | 188.667 | NA | NA | NA | 1.344 | NA | 100 | 51169.808 | 100 | NA | NA | NA | 2.533 | 2155.776 | NA | 14.528 | 85.776 | NA | 0.002 | 1.283 | NA | 0.009 | 0.051 | NA | 100 | 100 | 100 | NA | 100 | 49902.794 | 1069.833 | 189.462 | NA | 7.720 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1680114944 | NA |
| OWID_WRL | World | 1904 | 2282.759 | 1.069 | 24.146 | NA | NA | NA | 1.351 | NA | 100 | 53452.567 | 100 | NA | NA | NA | 2.732 | 2168.548 | NA | 15.165 | 96.315 | NA | 0.002 | 1.283 | NA | 0.009 | 0.057 | NA | 100 | 100 | 100 | NA | 100 | 52071.341 | 1166.148 | 204.627 | NA | 10.451 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1690269440 | NA |
| OWID_WRL | World | 1905 | 2431.145 | 6.500 | 148.385 | NA | NA | NA | 1.430 | NA | 100 | 55883.712 | 100 | NA | NA | NA | 3.491 | 2313.287 | NA | 17.170 | 97.198 | NA | 0.002 | 1.360 | NA | 0.010 | 0.057 | NA | 100 | 100 | 100 | NA | 100 | 54384.628 | 1263.345 | 221.796 | NA | 13.942 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1700426240 | NA |
| OWID_WRL | World | 1906 | 2554.215 | 5.062 | 123.071 | NA | NA | NA | 1.493 | NA | 100 | 58437.927 | 100 | NA | NA | NA | 4.470 | 2432.620 | NA | 19.027 | 98.099 | NA | 0.003 | 1.422 | NA | 0.011 | 0.057 | NA | 100 | 100 | 100 | NA | 100 | 56817.248 | 1361.444 | 240.823 | NA | 18.411 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1710550656 | NA |
| OWID_WRL | World | 1907 | 2887.833 | 13.061 | 333.617 | NA | NA | NA | 1.678 | NA | 100 | 61325.760 | 100 | NA | NA | NA | 4.601 | 2743.719 | NA | 19.877 | 119.636 | NA | 0.003 | 1.595 | NA | 0.012 | 0.070 | NA | 100 | 100 | 100 | NA | 100 | 59560.967 | 1481.080 | 260.701 | NA | 23.012 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1720606976 | NA |
| OWID_WRL | World | 1908 | 2779.288 | -3.759 | -108.545 | NA | NA | NA | 1.606 | NA | 100 | 64105.048 | 100 | NA | NA | NA | 4.795 | 2625.838 | NA | 19.676 | 128.979 | NA | 0.003 | 1.517 | NA | 0.011 | 0.075 | NA | 100 | 100 | 100 | NA | 100 | 62186.805 | 1610.059 | 280.376 | NA | 27.808 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1730558976 | NA |
| OWID_WRL | World | 1909 | 2890.654 | 4.007 | 111.366 | NA | NA | NA | 1.661 | NA | 100 | 66995.701 | 100 | NA | NA | NA | 6.024 | 2726.523 | NA | 23.523 | 134.584 | NA | 0.003 | 1.567 | NA | 0.014 | 0.077 | NA | 100 | 100 | 100 | NA | 100 | 64913.328 | 1744.643 | 303.899 | NA | 33.831 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1740369408 | NA |
| OWID_WRL | World | 1910 | 3032.156 | 4.895 | 141.502 | NA | NA | NA | 1.733 | NA | 100 | 70027.857 | 100 | NA | NA | NA | 7.040 | 2856.120 | NA | 24.915 | 144.080 | NA | 0.004 | 1.632 | NA | 0.014 | 0.082 | NA | 100 | 100 | 100 | NA | 100 | 67769.448 | 1888.723 | 328.814 | NA | 40.871 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1750000000 | NA |
| OWID_WRL | World | 1911 | 3087.264 | 1.817 | 55.108 | NA | NA | NA | 1.755 | NA | 100 | 73115.122 | 100 | NA | NA | NA | 7.214 | 2901.556 | NA | 25.718 | 152.777 | NA | 0.004 | 1.649 | NA | 0.015 | 0.087 | NA | 100 | 100 | 100 | NA | 100 | 70671.004 | 2041.500 | 354.532 | NA | 48.085 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1759443072 | NA |
| OWID_WRL | World | 1912 | 3233.403 | 4.734 | 146.139 | NA | NA | NA | 1.828 | NA | 100 | 76348.525 | 100 | NA | NA | NA | 7.583 | 3040.508 | NA | 28.315 | 156.997 | NA | 0.004 | 1.719 | NA | 0.016 | 0.089 | NA | 100 | 100 | 100 | NA | 100 | 73711.512 | 2198.497 | 382.847 | NA | 55.668 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1768814592 | NA |
| OWID_WRL | World | 1913 | 3498.266 | 8.191 | 264.863 | NA | NA | NA | 1.967 | NA | 100 | 79846.791 | 100 | 0.879 | NA | NA | 8.465 | 3278.396 | NA | 29.598 | 181.807 | NA | 0.005 | 1.844 | NA | 0.017 | 0.102 | NA | 100 | 100 | 100 | NA | 100 | 76989.908 | 2380.304 | 412.445 | NA | 64.133 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1778264832 | 3.98137e+12 |
| OWID_WRL | World | 1914 | 3173.996 | -9.269 | -324.270 | NA | NA | NA | 1.775 | NA | 100 | 83020.786 | 100 | NA | NA | NA | 8.062 | 2949.976 | NA | 30.136 | 185.822 | NA | 0.005 | 1.650 | NA | 0.017 | 0.104 | NA | 100 | 100 | 100 | NA | 100 | 79939.884 | 2566.126 | 442.582 | NA | 72.195 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1787947136 | NA |
| OWID_WRL | World | 1915 | 3130.389 | -1.374 | -43.607 | NA | NA | NA | 1.741 | NA | 100 | 86151.175 | 100 | NA | NA | NA | 7.867 | 2893.297 | NA | 31.866 | 197.359 | NA | 0.004 | 1.609 | NA | 0.018 | 0.110 | NA | 100 | 100 | 100 | NA | 100 | 82833.181 | 2763.485 | 474.447 | NA | 80.062 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1798018432 | NA |
| OWID_WRL | World | 1916 | 3378.662 | 7.931 | 248.274 | NA | NA | NA | 1.868 | NA | 100 | 89529.838 | 100 | NA | NA | NA | 8.390 | 3116.991 | NA | 38.377 | 214.905 | NA | 0.005 | 1.723 | NA | 0.021 | 0.119 | NA | 100 | 100 | 100 | NA | 100 | 85950.172 | 2978.390 | 512.824 | NA | 88.452 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1808639488 | NA |
| OWID_WRL | World | 1917 | 3533.556 | 4.584 | 154.893 | NA | NA | NA | 1.942 | NA | 100 | 93063.393 | 100 | NA | NA | NA | 8.457 | 3245.537 | NA | 40.509 | 239.052 | NA | 0.005 | 1.783 | NA | 0.022 | 0.131 | NA | 100 | 100 | 100 | NA | 100 | 89195.709 | 3217.441 | 553.333 | NA | 96.909 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1819975424 | NA |
| OWID_WRL | World | 1918 | 3483.435 | -1.418 | -50.121 | NA | NA | NA | 1.901 | NA | 100 | 96546.828 | 100 | NA | NA | NA | 6.479 | 3195.730 | NA | 36.519 | 244.706 | NA | 0.004 | 1.744 | NA | 0.020 | 0.134 | NA | 100 | 100 | 100 | NA | 100 | 92391.439 | 3462.148 | 589.852 | NA | 103.389 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1832196096 | NA |
| OWID_WRL | World | 1919 | 3019.921 | -13.306 | -463.513 | NA | NA | NA | 1.636 | NA | 100 | 99566.749 | 100 | NA | NA | NA | 7.354 | 2701.550 | NA | 37.948 | 273.069 | NA | 0.004 | 1.464 | NA | 0.021 | 0.148 | NA | 100 | 100 | 100 | NA | 100 | 95092.989 | 3735.217 | 627.800 | NA | 110.743 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1845476992 | NA |
| OWID_WRL | World | 1920 | 3513.395 | 16.341 | 493.473 | NA | NA | NA | 1.889 | NA | 100 | 103080.144 | 100 | NA | NA | NA | 9.015 | 3112.383 | NA | 41.685 | 350.311 | NA | 0.005 | 1.673 | NA | 0.022 | 0.188 | NA | 100 | 100 | 100 | NA | 100 | 98205.372 | 4085.528 | 669.486 | NA | 119.758 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1860000000 | NA |
| OWID_WRL | World | 1921 | 3083.123 | -12.247 | -430.272 | NA | NA | NA | 1.644 | NA | 100 | 106163.267 | 100 | NA | NA | NA | 8.886 | 2654.889 | NA | 34.993 | 384.356 | NA | 0.005 | 1.415 | NA | 0.019 | 0.205 | NA | 100 | 100 | 100 | NA | 100 | 100860.261 | 4469.884 | 704.479 | NA | 128.643 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1875909120 | NA |
| OWID_WRL | World | 1922 | 3234.231 | 4.901 | 151.109 | NA | NA | NA | 1.708 | NA | 100 | 109397.498 | 100 | NA | NA | NA | 10.384 | 2757.275 | NA | 40.107 | 426.464 | NA | 0.005 | 1.456 | NA | 0.021 | 0.225 | NA | 100 | 100 | 100 | NA | 100 | 103617.536 | 4896.348 | 744.586 | NA | 139.028 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1893171584 | NA |
| OWID_WRL | World | 1923 | 3670.605 | 13.492 | 436.374 | NA | NA | NA | 1.920 | NA | 100 | 113068.104 | 100 | NA | NA | NA | 12.431 | 3131.989 | NA | 52.526 | 473.659 | NA | 0.007 | 1.638 | NA | 0.027 | 0.248 | NA | 100 | 100 | 100 | NA | 100 | 106749.525 | 5370.008 | 797.112 | NA | 151.459 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1911708672 | NA |
| OWID_WRL | World | 1924 | 3682.986 | 0.337 | 12.381 | NA | NA | NA | 1.907 | NA | 100 | 116751.090 | 100 | NA | NA | NA | 13.500 | 3138.818 | NA | 59.711 | 470.958 | NA | 0.007 | 1.625 | NA | 0.031 | 0.244 | NA | 100 | 100 | 100 | NA | 100 | 109888.343 | 5840.966 | 856.823 | NA | 164.959 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1931439872 | NA |
| OWID_WRL | World | 1925 | 3709.804 | 0.728 | 26.817 | NA | NA | NA | 1.900 | NA | 100 | 120460.894 | 100 | NA | NA | NA | 14.341 | 3138.599 | NA | 63.926 | 492.938 | NA | 0.007 | 1.608 | NA | 0.033 | 0.252 | NA | 100 | 100 | 100 | NA | 100 | 113026.942 | 6333.903 | 920.749 | NA | 179.300 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1952281984 | NA |
| OWID_WRL | World | 1926 | 3642.200 | -1.822 | -67.604 | NA | NA | NA | 1.845 | NA | 100 | 124103.094 | 100 | NA | NA | NA | 14.651 | 3067.560 | NA | 69.148 | 490.840 | NA | 0.007 | 1.554 | NA | 0.035 | 0.249 | NA | 100 | 100 | 100 | NA | 100 | 116094.502 | 6824.743 | 989.897 | NA | 193.951 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1974148992 | NA |
| OWID_WRL | World | 1927 | 3978.374 | 9.230 | 336.174 | NA | NA | NA | 1.992 | NA | 100 | 128081.467 | 100 | NA | NA | NA | 15.355 | 3349.093 | NA | 76.021 | 537.905 | NA | 0.008 | 1.677 | NA | 0.038 | 0.269 | NA | 100 | 100 | 100 | NA | 100 | 119443.595 | 7362.649 | 1065.917 | NA | 209.306 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 1996950912 | NA |
| OWID_WRL | World | 1928 | 3959.653 | -0.471 | -18.721 | NA | NA | NA | 1.960 | NA | 100 | 132041.120 | 100 | NA | NA | NA | 35.673 | 3291.700 | NA | 82.628 | 549.653 | NA | 0.018 | 1.629 | NA | 0.041 | 0.272 | NA | 100 | 100 | 100 | NA | 100 | 122735.295 | 7912.301 | 1148.546 | NA | 244.979 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2020593536 | NA |
| OWID_WRL | World | 1929 | 4252.190 | 7.388 | 292.537 | NA | NA | NA | 2.079 | NA | 100 | 136293.310 | 100 | 0.835 | NA | NA | 36.938 | 3509.547 | NA | 102.901 | 602.804 | NA | 0.018 | 1.716 | NA | 0.050 | 0.295 | NA | 100 | 100 | 100 | NA | 100 | 126244.842 | 8515.106 | 1251.446 | NA | 281.917 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2044978048 | 5.08999e+12 |
| OWID_WRL | World | 1930 | 3919.399 | -7.826 | -332.791 | NA | NA | NA | 1.893 | NA | 100 | 140212.709 | 100 | NA | NA | NA | 35.625 | 3202.022 | NA | 104.232 | 577.520 | NA | 0.017 | 1.547 | NA | 0.050 | 0.279 | NA | 100 | 100 | 100 | NA | 100 | 129446.863 | 9092.626 | 1355.679 | NA | 317.541 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2070000000 | NA |
| OWID_WRL | World | 1931 | 3502.982 | -10.624 | -416.416 | NA | NA | NA | 1.672 | NA | 100 | 143715.692 | 100 | NA | NA | NA | 31.021 | 2818.368 | NA | 92.901 | 560.692 | NA | 0.015 | 1.345 | NA | 0.044 | 0.268 | NA | 100 | 100 | 100 | NA | 100 | 132265.231 | 9653.318 | 1448.580 | NA | 348.563 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2095524352 | NA |
| OWID_WRL | World | 1932 | 3157.845 | -9.853 | -345.137 | NA | NA | NA | 1.489 | NA | 100 | 146873.537 | 100 | NA | NA | NA | 24.851 | 2507.728 | NA | 88.235 | 537.031 | NA | 0.012 | 1.182 | NA | 0.042 | 0.253 | NA | 100 | 100 | 100 | NA | 100 | 134772.959 | 10190.349 | 1536.815 | NA | 373.414 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2121306496 | NA |
| OWID_WRL | World | 1933 | 3324.972 | 5.292 | 167.126 | NA | NA | NA | 1.549 | NA | 100 | 150198.508 | 100 | NA | NA | NA | 23.991 | 2623.163 | NA | 90.935 | 586.882 | NA | 0.011 | 1.222 | NA | 0.042 | 0.273 | NA | 100 | 100 | 100 | NA | 100 | 137396.122 | 10777.231 | 1627.750 | NA | 397.405 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2147063296 | NA |
| OWID_WRL | World | 1934 | 3616.315 | 8.762 | 291.344 | NA | NA | NA | 1.665 | NA | 100 | 153814.824 | 100 | NA | NA | NA | 28.718 | 2864.469 | NA | 101.973 | 621.154 | NA | 0.013 | 1.319 | NA | 0.047 | 0.286 | NA | 100 | 100 | 100 | NA | 100 | 140260.592 | 11398.385 | 1729.723 | NA | 426.123 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2172497152 | NA |
| OWID_WRL | World | 1935 | 3794.457 | 4.926 | 178.141 | NA | NA | NA | 1.727 | NA | 100 | 157609.280 | 100 | NA | NA | NA | 32.331 | 2981.135 | NA | 111.400 | 669.591 | NA | 0.015 | 1.357 | NA | 0.051 | 0.305 | NA | 100 | 100 | 100 | NA | 100 | 143241.727 | 12067.976 | 1841.123 | NA | 458.454 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2197296384 | NA |
| OWID_WRL | World | 1936 | 4168.554 | 9.859 | 374.098 | NA | NA | NA | 1.877 | NA | 100 | 161777.834 | 100 | NA | NA | NA | 39.091 | 3273.864 | NA | 125.565 | 730.035 | NA | 0.018 | 1.474 | NA | 0.057 | 0.329 | NA | 100 | 100 | 100 | NA | 100 | 146515.591 | 12798.011 | 1966.689 | NA | 497.545 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2221135616 | NA |
| OWID_WRL | World | 1937 | 4456.655 | 6.911 | 288.100 | NA | NA | NA | 1.986 | NA | 100 | 166234.489 | 100 | NA | NA | NA | 41.148 | 3452.448 | NA | 140.613 | 822.446 | NA | 0.018 | 1.539 | NA | 0.063 | 0.367 | NA | 100 | 100 | 100 | NA | 100 | 149968.039 | 13620.457 | 2107.301 | NA | 538.692 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2243677440 | NA |
| OWID_WRL | World | 1938 | 4193.546 | -5.904 | -263.109 | NA | NA | NA | 1.852 | NA | 100 | 170428.035 | 100 | NA | NA | NA | 38.920 | 3221.120 | NA | 135.532 | 797.975 | NA | 0.017 | 1.422 | NA | 0.060 | 0.352 | NA | 100 | 100 | 100 | NA | 100 | 153189.159 | 14418.432 | 2242.833 | NA | 577.612 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2264574208 | NA |
| OWID_WRL | World | 1939 | 4435.793 | 5.777 | 242.247 | NA | NA | NA | 1.943 | NA | 100 | 174863.828 | 100 | NA | NA | NA | 36.049 | 3427.144 | NA | 141.366 | 831.234 | NA | 0.016 | 1.501 | NA | 0.062 | 0.364 | NA | 100 | 100 | 100 | NA | 100 | 156616.302 | 15249.666 | 2384.199 | NA | 613.661 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2283468800 | NA |
| OWID_WRL | World | 1940 | 4847.084 | 9.272 | 411.292 | NA | NA | NA | 2.107 | NA | 100 | 179710.912 | 100 | NA | NA | NA | 31.651 | 3788.360 | NA | 153.570 | 873.504 | NA | 0.014 | 1.647 | NA | 0.067 | 0.380 | NA | 100 | 100 | 100 | NA | 100 | 160404.663 | 16123.169 | 2537.769 | NA | 645.311 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2300000000 | NA |
| OWID_WRL | World | 1941 | 4955.476 | 2.236 | 108.392 | NA | NA | NA | 2.141 | NA | 100 | 184666.388 | 100 | NA | NA | NA | 43.463 | 3876.834 | NA | 153.463 | 881.716 | NA | 0.019 | 1.675 | NA | 0.066 | 0.381 | NA | 100 | 100 | 100 | NA | 100 | 164281.497 | 17004.885 | 2691.232 | NA | 688.774 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2314055168 | NA |
| OWID_WRL | World | 1942 | 4935.659 | -0.400 | -19.817 | NA | NA | NA | 2.121 | NA | 100 | 189602.048 | 100 | NA | NA | NA | 38.219 | 3894.969 | NA | 166.049 | 836.422 | NA | 0.016 | 1.674 | NA | 0.071 | 0.360 | NA | 100 | 100 | 100 | NA | 100 | 168176.466 | 17841.308 | 2857.281 | NA | 726.993 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2326540544 | NA |
| OWID_WRL | World | 1943 | 5018.865 | 1.686 | 83.206 | NA | NA | NA | 2.146 | NA | 100 | 194620.912 | 100 | NA | NA | NA | 34.653 | 3912.609 | NA | 182.900 | 888.703 | NA | 0.015 | 1.673 | NA | 0.078 | 0.380 | NA | 100 | 100 | 100 | NA | 100 | 172089.074 | 18730.011 | 3040.181 | NA | 761.646 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2338643968 | NA |
| OWID_WRL | World | 1944 | 5101.040 | 1.637 | 82.175 | NA | NA | NA | 2.169 | NA | 100 | 199721.952 | 100 | NA | NA | NA | 22.524 | 3861.790 | NA | 197.601 | 1019.124 | NA | 0.010 | 1.642 | NA | 0.084 | 0.433 | NA | 100 | 100 | 100 | NA | 100 | 175950.864 | 19749.135 | 3237.782 | NA | 784.171 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2351580160 | NA |
| OWID_WRL | World | 1945 | 4240.829 | -16.863 | -860.211 | NA | NA | NA | 1.792 | NA | 100 | 203962.781 | 100 | NA | NA | NA | 22.934 | 2992.181 | NA | 216.746 | 1008.968 | NA | 0.010 | 1.264 | NA | 0.092 | 0.426 | NA | 100 | 100 | 100 | NA | 100 | 178943.046 | 20758.103 | 3454.528 | NA | 807.105 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2366593024 | NA |
| OWID_WRL | World | 1946 | 4629.673 | 9.169 | 388.844 | NA | NA | NA | 1.941 | NA | 100 | 208592.454 | 100 | NA | NA | NA | 36.312 | 3228.828 | NA | 223.895 | 1140.638 | NA | 0.015 | 1.354 | NA | 0.094 | 0.478 | NA | 100 | 100 | 100 | NA | 100 | 182171.874 | 21898.741 | 3678.423 | NA | 843.417 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2384963584 | NA |
| OWID_WRL | World | 1947 | 5125.894 | 10.718 | 496.221 | NA | NA | NA | 2.129 | NA | 100 | 213718.348 | 100 | NA | NA | NA | 43.237 | 3612.469 | NA | 247.966 | 1222.223 | NA | 0.018 | 1.500 | NA | 0.103 | 0.508 | NA | 100 | 100 | 100 | NA | 100 | 185784.343 | 23120.964 | 3926.388 | NA | 886.653 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2408024320 | NA |
| OWID_WRL | World | 1948 | 5396.503 | 5.279 | 270.609 | NA | NA | NA | 2.214 | NA | 100 | 219114.852 | 100 | NA | NA | NA | 51.766 | 3723.983 | NA | 280.214 | 1340.541 | NA | 0.021 | 1.528 | NA | 0.115 | 0.550 | NA | 100 | 100 | 100 | NA | 100 | 189508.326 | 24461.505 | 4206.602 | NA | 938.419 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2437183232 | NA |
| OWID_WRL | World | 1949 | 5239.276 | -2.913 | -157.227 | NA | NA | NA | 2.118 | NA | 100 | 224354.128 | 100 | NA | NA | NA | 58.355 | 3542.528 | NA | 300.549 | 1337.845 | NA | 0.024 | 1.432 | NA | 0.121 | 0.541 | NA | 100 | 100 | 100 | NA | 100 | 193050.854 | 25799.350 | 4507.151 | NA | 996.774 | 100 | 100 | 100 | NA | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2473954560 | NA |
| OWID_WRL | World | 1950 | 5998.350 | 14.488 | 759.074 | NA | NA | NA | 2.365 | NA | 100 | 230352.479 | 100 | 0.726 | NA | NA | 66.939 | 3854.980 | 73.624 | 353.283 | 1649.525 | NA | 0.026 | 1.520 | 0.029 | 0.139 | 0.650 | NA | 100 | 100 | 100 | 100 | 100 | 196905.833 | 27448.875 | 4860.434 | 73.624 | 1063.712 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2536431104 | 8.26090e+12 |
| OWID_WRL | World | 1951 | 6373.785 | 6.259 | 375.434 | NA | NA | NA | 2.467 | NA | 100 | 236726.264 | 100 | 0.728 | NA | NA | 75.576 | 4058.695 | 79.875 | 416.327 | 1743.311 | NA | 0.029 | 1.571 | 0.031 | 0.161 | 0.675 | NA | 100 | 100 | 100 | 100 | 100 | 200964.528 | 29192.186 | 5276.761 | 153.500 | 1139.289 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2584034048 | 8.76367e+12 |
| OWID_WRL | World | 1952 | 6460.163 | 1.355 | 86.378 | NA | NA | NA | 2.456 | NA | 100 | 243186.427 | 100 | 0.704 | NA | NA | 81.134 | 4007.545 | 85.364 | 447.229 | 1838.891 | NA | 0.031 | 1.523 | 0.032 | 0.170 | 0.699 | NA | 100 | 100 | 100 | 100 | 100 | 204972.073 | 31031.077 | 5723.991 | 238.863 | 1220.423 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2630862080 | 9.16940e+12 |
| OWID_WRL | World | 1953 | 6641.785 | 2.811 | 181.622 | NA | NA | NA | 2.480 | NA | 100 | 249828.212 | 100 | 0.685 | NA | NA | 90.026 | 4042.021 | 81.348 | 474.686 | 1953.705 | NA | 0.034 | 1.510 | 0.030 | 0.177 | 0.730 | NA | 100 | 100 | 100 | 100 | 100 | 209014.094 | 32984.782 | 6198.676 | 320.212 | 1310.449 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2677608960 | 9.69107e+12 |
| OWID_WRL | World | 1954 | 6784.944 | 2.155 | 143.159 | NA | NA | NA | 2.490 | NA | 100 | 256613.156 | 100 | 0.682 | NA | NA | 97.787 | 4037.623 | 77.612 | 501.531 | 2070.391 | NA | 0.036 | 1.482 | 0.028 | 0.184 | 0.760 | NA | 100 | 100 | 100 | 100 | 100 | 213051.717 | 35055.173 | 6700.207 | 397.824 | 1408.235 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2724847104 | 9.94678e+12 |
| OWID_WRL | World | 1955 | 7437.038 | 9.611 | 652.094 | NA | NA | NA | 2.682 | NA | 100 | 264050.194 | 100 | 0.702 | NA | NA | 108.186 | 4370.550 | 96.836 | 547.454 | 2314.013 | NA | 0.039 | 1.576 | 0.035 | 0.197 | 0.834 | NA | 100 | 100 | 100 | 100 | 100 | 217422.267 | 37369.185 | 7247.660 | 494.659 | 1516.422 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2773019904 | 1.06071e+13 |
| OWID_WRL | World | 1956 | 7917.910 | 6.466 | 480.872 | NA | NA | NA | 2.805 | NA | 100 | 271968.104 | 100 | 0.713 | NA | NA | 117.213 | 4594.487 | 108.174 | 587.533 | 2510.504 | NA | 0.042 | 1.628 | 0.038 | 0.208 | 0.889 | NA | 100 | 100 | 100 | 100 | 100 | 222016.754 | 39879.689 | 7835.193 | 602.833 | 1633.635 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2822443008 | 1.11100e+13 |
| OWID_WRL | World | 1957 | 8179.340 | 3.302 | 261.429 | NA | NA | NA | 2.847 | NA | 100 | 280147.444 | 100 | 0.711 | NA | NA | 123.183 | 4678.644 | 106.386 | 647.176 | 2623.951 | NA | 0.043 | 1.628 | 0.037 | 0.225 | 0.913 | NA | 100 | 100 | 100 | 100 | 100 | 226695.398 | 42503.641 | 8482.369 | 709.219 | 1756.818 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2873306112 | 1.14910e+13 |
| OWID_WRL | World | 1958 | 8412.113 | 2.846 | 232.773 | NA | NA | NA | 2.875 | NA | 100 | 288559.557 | 100 | 0.713 | NA | NA | 130.396 | 4750.659 | 95.115 | 706.630 | 2729.314 | NA | 0.045 | 1.624 | 0.033 | 0.242 | 0.933 | NA | 100 | 100 | 100 | 100 | 100 | 231446.056 | 45232.955 | 9188.998 | 804.333 | 1887.214 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2925687040 | 1.18390e+13 |
| OWID_WRL | World | 1959 | 8848.509 | 5.188 | 436.396 | NA | NA | NA | 2.970 | NA | 100 | 297408.066 | 100 | 0.719 | NA | NA | 145.957 | 4943.832 | 91.694 | 759.285 | 2907.741 | NA | 0.049 | 1.659 | 0.031 | 0.255 | 0.976 | NA | 100 | 100 | 100 | 100 | 100 | 236389.888 | 48140.695 | 9948.283 | 896.027 | 2033.171 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 2979576064 | 1.23121e+13 |
| OWID_WRL | World | 1960 | 9334.894 | 5.497 | 486.386 | NA | NA | NA | 3.076 | NA | 100 | 306742.960 | 100 | 0.724 | NA | NA | 156.941 | 5130.917 | 89.140 | 835.374 | 3122.522 | NA | 0.052 | 1.691 | 0.029 | 0.275 | 1.029 | NA | 100 | 100 | 100 | 100 | 100 | 241520.806 | 51263.217 | 10783.657 | 985.167 | 2190.112 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 3034949888 | 1.29028e+13 |
| OWID_WRL | World | 1961 | 9356.003 | 0.226 | 21.109 | NA | NA | NA | 3.026 | NA | 100 | 316098.963 | 100 | 0.698 | NA | NA | 165.445 | 4915.325 | 86.219 | 882.812 | 3306.202 | NA | 0.054 | 1.590 | 0.028 | 0.286 | 1.069 | NA | 100 | 100 | 100 | 100 | 100 | 246436.130 | 54569.420 | 11666.470 | 1071.386 | 2355.557 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 3091844096 | 1.34101e+13 |
| OWID_WRL | World | 1962 | 9687.509 | 3.543 | 331.506 | NA | NA | NA | 3.075 | NA | 100 | 325786.472 | 100 | 0.687 | NA | NA | 177.697 | 4901.276 | 85.931 | 968.788 | 3553.818 | NA | 0.056 | 1.556 | 0.027 | 0.308 | 1.128 | NA | 100 | 100 | 100 | 100 | 100 | 251337.406 | 58123.238 | 12635.257 | 1157.317 | 2533.254 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 3150420992 | 1.41374e+13 |
| OWID_WRL | World | 1963 | 10236.031 | 5.662 | 548.522 | NA | NA | NA | 3.188 | NA | 100 | 336022.503 | 100 | 0.696 | NA | NA | 187.210 | 5101.000 | 90.506 | 1049.370 | 3807.944 | NA | 0.058 | 1.589 | 0.028 | 0.327 | 1.186 | NA | 100 | 100 | 100 | 100 | 100 | 256438.406 | 61931.182 | 13684.627 | 1247.823 | 2720.465 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 3211001088 | 1.47203e+13 |
| OWID_WRL | World | 1964 | 10769.609 | 5.213 | 533.578 | NA | NA | NA | 3.289 | NA | 100 | 346792.112 | 100 | 0.677 | NA | NA | 205.788 | 5195.154 | 112.792 | 1155.366 | 4100.509 | NA | 0.063 | 1.587 | 0.034 | 0.353 | 1.252 | NA | 100 | 100 | 100 | 100 | 100 | 261633.560 | 66031.691 | 14839.993 | 1360.615 | 2926.253 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 3273978112 | 1.58570e+13 |
| OWID_WRL | World | 1965 | 11269.289 | 4.640 | 499.680 | NA | NA | NA | 3.374 | NA | 100 | 358061.401 | 100 | 0.671 | NA | 0.262 | 215.178 | 5280.001 | 130.443 | 1233.892 | 4409.775 | NA | 0.064 | 1.581 | 0.039 | 0.369 | 1.320 | NA | 100 | 100 | 100 | 100 | 100 | 266913.562 | 70441.466 | 16073.885 | 1491.058 | 3141.431 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 43070.29 | 12896.90 | 2.571 | 3339584000 | 1.67555e+13 |
| OWID_WRL | World | 1966 | 11793.838 | 4.655 | 524.549 | NA | NA | NA | 3.461 | NA | 100 | 369855.239 | 100 | 0.666 | NA | 0.260 | 230.268 | 5327.529 | 144.566 | 1342.855 | 4748.620 | NA | 0.068 | 1.563 | 0.042 | 0.394 | 1.393 | NA | 100 | 100 | 100 | 100 | 100 | 272241.091 | 75190.086 | 17416.740 | 1635.624 | 3371.699 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 45406.99 | 13323.95 | 2.570 | 3407922944 | 1.76661e+13 |
| OWID_WRL | World | 1967 | 12171.497 | 3.202 | 377.659 | NA | NA | NA | 3.499 | NA | 100 | 382026.736 | 100 | 0.661 | NA | 0.258 | 238.147 | 5243.604 | 190.783 | 1436.176 | 5062.786 | NA | 0.068 | 1.507 | 0.055 | 0.413 | 1.455 | NA | 100 | 100 | 100 | 100 | 100 | 277484.695 | 80252.871 | 18852.917 | 1826.407 | 3609.846 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 47126.35 | 13546.84 | 2.559 | 3478769920 | 1.84194e+13 |
| OWID_WRL | World | 1968 | 12835.996 | 5.459 | 664.499 | NA | NA | NA | 3.614 | NA | 100 | 394862.732 | 100 | 0.658 | NA | 0.257 | 254.905 | 5301.229 | 203.800 | 1562.833 | 5513.230 | NA | 0.072 | 1.493 | 0.057 | 0.440 | 1.552 | NA | 100 | 100 | 100 | 100 | 100 | 282785.924 | 85766.101 | 20415.749 | 2030.207 | 3864.751 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 49985.64 | 14074.12 | 2.567 | 3551599104 | 1.94729e+13 |
| OWID_WRL | World | 1969 | 13691.842 | 6.668 | 855.846 | NA | NA | NA | 3.776 | NA | 100 | 408554.574 | 100 | 0.665 | NA | 0.256 | 268.359 | 5501.878 | 244.035 | 1712.032 | 5965.538 | NA | 0.074 | 1.517 | 0.067 | 0.472 | 1.645 | NA | 100 | 100 | 100 | 100 | 100 | 288287.801 | 91731.639 | 22127.782 | 2274.242 | 4133.110 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 53394.06 | 14726.63 | 2.591 | 3625680896 | 2.06074e+13 |
| OWID_WRL | World | 1970 | 14826.863 | 8.290 | 1135.020 | NA | NA | NA | 4.007 | NA | 100 | 423381.436 | 100 | 0.680 | NA | 0.261 | 282.282 | 5680.360 | 277.745 | 1794.121 | 6792.355 | NA | 0.076 | 1.535 | 0.075 | 0.485 | 1.836 | NA | 100 | 100 | 100 | 100 | 100 | 293968.161 | 98523.993 | 23921.903 | 2551.987 | 4415.392 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 56709.19 | 15325.00 | 2.596 | 3700436992 | 2.18429e+13 |
| OWID_WRL | World | 1971 | 15425.831 | 4.040 | 598.969 | NA | NA | NA | 4.085 | NA | 100 | 438807.268 | 100 | 0.677 | NA | 0.261 | 300.044 | 5681.463 | 321.128 | 1936.725 | 7186.471 | NA | 0.079 | 1.505 | 0.085 | 0.513 | 1.903 | NA | 100 | 100 | 100 | 100 | 100 | 299649.624 | 105710.464 | 25858.628 | 2873.115 | 4715.436 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 59090.43 | 15649.94 | 2.587 | 3775759872 | 2.28411e+13 |
| OWID_WRL | World | 1972 | 16142.605 | 4.647 | 716.774 | NA | NA | NA | 4.191 | NA | 100 | 454949.873 | 100 | 0.673 | NA | 0.259 | 316.962 | 5675.726 | 346.570 | 2055.258 | 7748.089 | NA | 0.082 | 1.474 | 0.090 | 0.534 | 2.012 | NA | 100 | 100 | 100 | 100 | 100 | 305325.351 | 113458.553 | 27913.886 | 3219.685 | 5032.398 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 62273.70 | 16168.05 | 2.596 | 3851651072 | 2.39881e+13 |
| OWID_WRL | World | 1973 | 17000.713 | 5.316 | 858.108 | NA | NA | NA | 4.328 | NA | 100 | 471950.586 | 100 | 0.662 | NA | 0.258 | 335.999 | 5837.205 | 402.006 | 2136.413 | 8289.090 | NA | 0.086 | 1.486 | 0.102 | 0.544 | 2.110 | NA | 100 | 100 | 100 | 100 | 100 | 311162.556 | 121747.644 | 30050.298 | 3621.691 | 5368.397 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 65857.67 | 16767.14 | 2.563 | 3927781120 | 2.56992e+13 |
| OWID_WRL | World | 1974 | 16925.872 | -0.440 | -74.842 | NA | NA | NA | 4.227 | NA | 100 | 488876.457 | 100 | 0.634 | NA | 0.256 | 336.717 | 5847.758 | 391.234 | 2180.941 | 8169.223 | NA | 0.084 | 1.461 | 0.098 | 0.545 | 2.040 | NA | 100 | 100 | 100 | 100 | 100 | 317010.314 | 129916.866 | 32231.239 | 4012.925 | 5705.114 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 66173.94 | 16527.81 | 2.475 | 4003793920 | 2.67355e+13 |
| OWID_WRL | World | 1975 | 16902.973 | -0.135 | -22.899 | NA | NA | NA | 4.143 | NA | 100 | 505779.430 | 100 | 0.619 | NA | 0.254 | 333.850 | 5974.763 | 336.444 | 2193.919 | 8063.996 | NA | 0.082 | 1.465 | 0.082 | 0.538 | 1.977 | NA | 100 | 100 | 100 | 100 | 100 | 322985.077 | 137980.862 | 34425.158 | 4349.369 | 6038.964 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 66518.52 | 16305.64 | 2.439 | 4079480064 | 2.72686e+13 |
| OWID_WRL | World | 1976 | 17799.760 | 5.306 | 896.788 | NA | NA | NA | 4.284 | NA | 100 | 523579.190 | 100 | 0.622 | NA | 0.254 | 356.318 | 6242.261 | 395.348 | 2323.262 | 8482.571 | NA | 0.086 | 1.502 | 0.095 | 0.559 | 2.042 | NA | 100 | 100 | 100 | 100 | 100 | 329227.338 | 146463.434 | 36748.420 | 4744.717 | 6395.282 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 70137.94 | 16881.72 | 2.449 | 4154667008 | 2.86389e+13 |
| OWID_WRL | World | 1977 | 18287.936 | 2.743 | 488.176 | NA | NA | NA | 4.324 | NA | 100 | 541867.126 | 100 | 0.614 | NA | 0.252 | 371.939 | 6373.924 | 381.321 | 2367.022 | 8793.730 | NA | 0.088 | 1.507 | 0.090 | 0.560 | 2.079 | NA | 100 | 100 | 100 | 100 | 100 | 335601.262 | 155257.164 | 39115.442 | 5126.038 | 6767.220 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 72630.75 | 17172.39 | 2.441 | 4229506048 | 2.97599e+13 |
| OWID_WRL | World | 1978 | 18958.832 | 3.669 | 670.896 | NA | NA | NA | 4.404 | NA | 100 | 560825.958 | 100 | 0.610 | NA | 0.252 | 394.791 | 6568.674 | 390.089 | 2489.867 | 9115.411 | NA | 0.092 | 1.526 | 0.091 | 0.578 | 2.118 | NA | 100 | 100 | 100 | 100 | 100 | 342169.936 | 164372.575 | 41605.308 | 5516.128 | 7162.011 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 75125.75 | 17452.70 | 2.415 | 4304534016 | 3.11021e+13 |
| OWID_WRL | World | 1979 | 19464.238 | 2.666 | 505.406 | NA | NA | NA | 4.443 | NA | 100 | 580290.196 | 100 | 0.603 | NA | 0.250 | 401.223 | 6816.022 | 360.196 | 2630.153 | 9256.644 | NA | 0.092 | 1.556 | 0.082 | 0.600 | 2.113 | NA | 100 | 100 | 100 | 100 | 100 | 348985.958 | 173629.219 | 44235.461 | 5876.324 | 7563.234 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 77736.77 | 17746.07 | 2.404 | 4380506112 | 3.23425e+13 |
| OWID_WRL | World | 1980 | 19369.452 | -0.487 | -94.786 | NA | NA | NA | 4.345 | NA | 100 | 599659.648 | 100 | 0.585 | NA | 0.251 | 403.947 | 7017.390 | 316.485 | 2708.026 | 8923.604 | NA | 0.091 | 1.574 | 0.071 | 0.607 | 2.002 | NA | 100 | 100 | 100 | 100 | 100 | 356003.348 | 182552.823 | 46943.487 | 6192.809 | 7967.181 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 77171.18 | 17310.71 | 2.329 | 4458002944 | 3.31401e+13 |
| OWID_WRL | World | 1981 | 18841.367 | -2.726 | -528.085 | NA | NA | NA | 4.153 | NA | 100 | 618501.015 | 100 | 0.564 | NA | 0.246 | 403.666 | 6973.884 | 237.302 | 2739.036 | 8487.479 | NA | 0.089 | 1.537 | 0.052 | 0.604 | 1.871 | NA | 100 | 100 | 100 | 100 | 100 | 362977.232 | 191040.302 | 49682.523 | 6430.111 | 8370.847 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 76739.23 | 16914.10 | 2.299 | 4536996864 | 3.33737e+13 |
| OWID_WRL | World | 1982 | 18700.965 | -0.745 | -140.402 | NA | NA | NA | 4.050 | NA | 100 | 637201.980 | 100 | 0.558 | NA | 0.245 | 401.622 | 7099.887 | 235.796 | 2680.506 | 8283.154 | NA | 0.087 | 1.538 | 0.051 | 0.581 | 1.794 | NA | 100 | 100 | 100 | 100 | 100 | 370077.119 | 199323.456 | 52363.029 | 6665.908 | 8772.468 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 76414.32 | 16549.26 | 2.279 | 4617387008 | 3.35294e+13 |
| OWID_WRL | World | 1983 | 18876.275 | 0.937 | 175.310 | NA | NA | NA | 4.017 | NA | 100 | 656078.254 | 100 | 0.552 | NA | 0.243 | 411.161 | 7312.340 | 213.145 | 2725.148 | 8214.480 | NA | 0.087 | 1.556 | 0.045 | 0.580 | 1.748 | NA | 100 | 100 | 100 | 100 | 100 | 377389.459 | 207537.936 | 55088.177 | 6879.053 | 9183.629 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 77623.87 | 16517.23 | 2.272 | 4699569152 | 3.41694e+13 |
| OWID_WRL | World | 1984 | 19426.234 | 2.913 | 549.959 | NA | NA | NA | 4.061 | NA | 100 | 675504.488 | 100 | 0.549 | NA | 0.239 | 418.837 | 7624.128 | 187.119 | 2942.506 | 8253.644 | NA | 0.088 | 1.594 | 0.039 | 0.615 | 1.725 | NA | 100 | 100 | 100 | 100 | 100 | 385013.587 | 215791.580 | 58030.683 | 7066.172 | 9602.467 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 81291.51 | 16992.33 | 2.298 | 4784011776 | 3.53701e+13 |
| OWID_WRL | World | 1985 | 20116.824 | 3.555 | 690.590 | NA | NA | NA | 4.130 | NA | 100 | 695621.312 | 100 | 0.551 | NA | 0.241 | 422.731 | 8177.460 | 181.886 | 3064.540 | 8270.208 | NA | 0.087 | 1.679 | 0.037 | 0.629 | 1.698 | NA | 100 | 100 | 100 | 100 | 100 | 393191.047 | 224061.788 | 61095.223 | 7248.058 | 10025.197 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 83360.79 | 17113.96 | 2.287 | 4870922240 | 3.64500e+13 |
| OWID_WRL | World | 1986 | 20401.695 | 1.416 | 284.870 | NA | NA | NA | 4.113 | NA | 100 | 716023.007 | 100 | 0.540 | NA | 0.239 | 439.966 | 8268.885 | 170.183 | 3005.575 | 8517.086 | NA | 0.089 | 1.667 | 0.034 | 0.606 | 1.717 | NA | 100 | 100 | 100 | 100 | 100 | 401459.932 | 232578.874 | 64100.798 | 7418.240 | 10465.163 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 85194.75 | 17174.40 | 2.252 | 4960567808 | 3.78313e+13 |
| OWID_WRL | World | 1987 | 21062.704 | 3.240 | 661.009 | NA | NA | NA | 4.169 | NA | 100 | 737085.711 | 100 | 0.536 | NA | 0.239 | 458.359 | 8567.808 | 163.551 | 3255.566 | 8617.420 | NA | 0.091 | 1.696 | 0.032 | 0.644 | 1.706 | NA | 100 | 100 | 100 | 100 | 100 | 410027.740 | 241196.294 | 67356.363 | 7581.792 | 10923.522 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 88171.10 | 17450.91 | 2.243 | 5052521984 | 3.93124e+13 |
| OWID_WRL | World | 1988 | 21865.971 | 3.814 | 803.267 | NA | NA | NA | 4.250 | NA | 100 | 758951.682 | 100 | 0.533 | NA | 0.239 | 485.930 | 8858.933 | 186.185 | 3414.657 | 8920.266 | NA | 0.094 | 1.722 | 0.036 | 0.664 | 1.734 | NA | 100 | 100 | 100 | 100 | 100 | 418886.673 | 250116.560 | 70771.020 | 7767.976 | 11409.453 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 91500.97 | 17782.97 | 2.234 | 5145425920 | 4.09526e+13 |
| OWID_WRL | World | 1989 | 22193.362 | 1.497 | 327.391 | NA | NA | NA | 4.237 | NA | 100 | 781145.044 | 100 | 0.525 | NA | 0.238 | 497.250 | 8882.261 | 151.453 | 3592.678 | 9069.719 | NA | 0.095 | 1.696 | 0.029 | 0.686 | 1.732 | NA | 100 | 100 | 100 | 100 | 100 | 427768.934 | 259186.278 | 74363.699 | 7919.430 | 11906.703 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | 93310.19 | 17815.99 | 2.205 | 5237441024 | 4.23267e+13 |
| OWID_WRL | World | 1990 | 22697.612 | 2.272 | 504.250 | NA | NA | NA | 4.261 | NA | 100 | 803842.656 | 100 | 0.525 | NA | 0.240 | 499.196 | 8720.617 | 247.908 | 3860.862 | 9218.816 | 150.213 | 0.094 | 1.637 | 0.047 | 0.725 | 1.731 | 0.028 | 100 | 100 | 100 | 100 | 100 | 436489.551 | 268405.094 | 78224.561 | 8167.337 | 12405.899 | 100 | 100 | 100 | 100 | 100 | 34967.34 | 6.564 | 7415.58 | 1.392 | 2460.54 | 0.462 | 94383.41 | 17717.16 | 2.183 | 5327230976 | 4.32400e+13 |
| OWID_WRL | World | 1991 | 23169.529 | 2.079 | 471.917 | NA | NA | NA | 4.279 | NA | 100 | 827012.185 | 100 | 0.530 | NA | 0.244 | 512.831 | 8639.866 | 262.648 | 3939.118 | 9676.619 | 138.447 | 0.095 | 1.596 | 0.049 | 0.728 | 1.787 | 0.026 | 100 | 100 | 100 | 100 | 100 | 445129.417 | 278081.713 | 82163.679 | 8429.985 | 12918.730 | 100 | 100 | 100 | 100 | 100 | 35125.44 | 6.488 | 7387.74 | 1.364 | 2447.93 | 0.452 | 94998.44 | 17545.88 | 2.176 | 5414288896 | 4.36640e+13 |
| OWID_WRL | World | 1992 | 22444.951 | -3.127 | -724.578 | NA | NA | NA | 4.082 | NA | 100 | 849457.136 | 100 | 0.501 | NA | 0.235 | 534.533 | 8423.192 | 232.040 | 3966.600 | 9160.068 | 128.518 | 0.097 | 1.532 | 0.042 | 0.721 | 1.666 | 0.023 | 100 | 100 | 100 | 100 | 100 | 453552.609 | 287241.782 | 86130.278 | 8662.025 | 13453.263 | 100 | 100 | 100 | 100 | 100 | 34985.53 | 6.362 | 7322.48 | 1.332 | 2440.49 | 0.444 | 95643.59 | 17393.16 | 2.136 | 5498919936 | 4.47760e+13 |
| OWID_WRL | World | 1993 | 22682.603 | 1.059 | 237.652 | NA | NA | NA | 4.064 | NA | 100 | 872139.739 | 100 | 0.500 | NA | 0.235 | 555.314 | 8522.452 | 228.386 | 4074.315 | 9183.989 | 118.147 | 0.099 | 1.527 | 0.041 | 0.730 | 1.645 | 0.021 | 100 | 100 | 100 | 100 | 100 | 462075.061 | 296425.770 | 90204.593 | 8890.411 | 14008.577 | 100 | 100 | 100 | 100 | 100 | 35079.63 | 6.285 | 7300.62 | 1.308 | 2428.77 | 0.435 | 96369.91 | 17265.65 | 2.121 | 5581598208 | 4.54466e+13 |
| OWID_WRL | World | 1994 | 22843.788 | 0.711 | 161.185 | NA | NA | NA | 4.034 | NA | 100 | 894983.527 | 100 | 0.491 | NA | 0.234 | 591.947 | 8572.822 | 231.587 | 4112.049 | 9221.056 | 114.327 | 0.105 | 1.514 | 0.041 | 0.726 | 1.628 | 0.020 | 100 | 100 | 100 | 100 | 100 | 470647.883 | 305646.826 | 94316.642 | 9121.998 | 14600.524 | 100 | 100 | 100 | 100 | 100 | 35287.61 | 6.231 | 7274.33 | 1.285 | 2514.99 | 0.444 | 97641.65 | 17241.58 | 2.100 | 5663150080 | 4.65049e+13 |
| OWID_WRL | World | 1995 | 23332.159 | 2.138 | 488.371 | NA | NA | NA | 4.062 | NA | 100 | 918315.686 | 100 | 0.483 | NA | 0.234 | 625.866 | 8822.304 | 230.257 | 4220.642 | 9314.526 | 118.564 | 0.109 | 1.536 | 0.040 | 0.735 | 1.622 | 0.021 | 100 | 100 | 100 | 100 | 100 | 479470.188 | 314961.352 | 98537.284 | 9352.255 | 15226.390 | 100 | 100 | 100 | 100 | 100 | 36012.63 | 6.269 | 7283.49 | 1.268 | 2570.66 | 0.448 | 99620.58 | 17342.77 | 2.062 | 5744212992 | 4.83222e+13 |
| OWID_WRL | World | 1996 | 24050.844 | 3.080 | 718.685 | NA | NA | NA | 4.129 | NA | 100 | 942366.530 | 100 | 0.483 | NA | 0.234 | 639.119 | 9035.080 | 233.118 | 4406.063 | 9623.161 | 114.303 | 0.110 | 1.551 | 0.040 | 0.756 | 1.652 | 0.020 | 100 | 100 | 100 | 100 | 100 | 488505.267 | 324584.513 | 102943.347 | 9585.373 | 15865.509 | 100 | 100 | 100 | 100 | 100 | 36025.05 | 6.185 | 7152.83 | 1.228 | 2577.46 | 0.442 | 102592.22 | 17612.72 | 2.061 | 5824891904 | 4.97675e+13 |
| OWID_WRL | World | 1997 | 24191.148 | 0.583 | 140.305 | NA | NA | NA | 4.097 | NA | 100 | 966557.678 | 100 | 0.471 | NA | 0.233 | 658.367 | 8986.534 | 238.107 | 4422.390 | 9771.633 | 114.117 | 0.111 | 1.522 | 0.040 | 0.749 | 1.655 | 0.019 | 100 | 100 | 100 | 100 | 100 | 497491.802 | 334356.147 | 107365.737 | 9823.480 | 16523.875 | 100 | 100 | 100 | 100 | 100 | 37342.50 | 6.324 | 7369.05 | 1.248 | 2587.71 | 0.438 | 103650.06 | 17552.79 | 2.018 | 5905046016 | 5.13524e+13 |
| OWID_WRL | World | 1998 | 24112.119 | -0.327 | -79.029 | NA | NA | NA | 4.029 | NA | 100 | 990669.797 | 100 | 0.463 | NA | 0.231 | 654.507 | 8749.415 | 226.832 | 4495.893 | 9871.746 | 113.726 | 0.109 | 1.462 | 0.038 | 0.751 | 1.649 | 0.019 | 100 | 100 | 100 | 100 | 100 | 506241.217 | 344227.893 | 111861.629 | 10050.312 | 17178.382 | 100 | 100 | 100 | 100 | 100 | 36976.63 | 6.178 | 7274.29 | 1.215 | 2599.16 | 0.434 | 104270.80 | 17422.62 | 2.000 | 5984794112 | 5.21305e+13 |
| OWID_WRL | World | 1999 | 24431.051 | 1.323 | 318.932 | NA | NA | NA | 4.029 | NA | 100 | 1015100.848 | 100 | 0.452 | NA | 0.230 | 684.409 | 8679.499 | 219.234 | 4628.797 | 10104.990 | 114.122 | 0.113 | 1.431 | 0.036 | 0.763 | 1.666 | 0.019 | 100 | 100 | 100 | 100 | 100 | 514920.716 | 354332.883 | 116490.427 | 10269.546 | 17862.791 | 100 | 100 | 100 | 100 | 100 | 36810.09 | 6.070 | 7207.23 | 1.188 | 2572.36 | 0.424 | 106165.38 | 17506.79 | 1.966 | 6064239104 | 5.40115e+13 |
| OWID_WRL | World | 2000 | 25119.042 | 2.816 | 687.992 | NA | NA | NA | 4.089 | NA | 100 | 1040219.890 | 100 | 0.438 | NA | 0.231 | 715.796 | 8999.104 | 264.501 | 4745.742 | 10280.736 | 113.164 | 0.117 | 1.465 | 0.043 | 0.772 | 1.673 | 0.018 | 100 | 100 | 100 | 100 | 100 | 523919.820 | 364613.620 | 121236.168 | 10534.047 | 18578.587 | 100 | 100 | 100 | 100 | 100 | 37420.92 | 6.091 | 7173.99 | 1.168 | 2554.89 | 0.416 | 108822.06 | 17713.38 | 1.899 | 6143494144 | 5.73017e+13 |
| OWID_WRL | World | 2001 | 25332.203 | 0.849 | 213.160 | NA | NA | NA | 4.071 | NA | 100 | 1065552.092 | 100 | 0.432 | NA | 0.230 | 747.540 | 9048.280 | 266.260 | 4791.210 | 10367.720 | 111.193 | 0.120 | 1.454 | 0.043 | 0.770 | 1.666 | 0.018 | 100 | 100 | 100 | 100 | 100 | 532968.100 | 374981.339 | 126027.378 | 10800.307 | 19326.127 | 100 | 100 | 100 | 100 | 100 | 38379.96 | 6.168 | 7262.65 | 1.167 | 2592.42 | 0.417 | 110048.80 | 17685.26 | 1.877 | 6222626816 | 5.86318e+13 |
| OWID_WRL | World | 2002 | 25911.186 | 2.286 | 578.984 | NA | NA | NA | 4.112 | NA | 100 | 1091463.279 | 100 | 0.428 | NA | 0.230 | 787.887 | 9437.304 | 276.993 | 4936.982 | 10358.792 | 113.229 | 0.125 | 1.498 | 0.044 | 0.783 | 1.644 | 0.018 | 100 | 100 | 100 | 100 | 100 | 542405.404 | 385340.130 | 130964.360 | 11077.300 | 20114.014 | 100 | 100 | 100 | 100 | 100 | 39824.70 | 6.320 | 7561.80 | 1.200 | 2662.79 | 0.423 | 112538.21 | 17858.18 | 1.860 | 6301772800 | 6.05064e+13 |
| OWID_WRL | World | 2003 | 27176.184 | 4.882 | 1264.998 | NA | NA | NA | 4.259 | NA | 100 | 1118639.463 | 100 | 0.436 | NA | 0.233 | 846.510 | 10210.176 | 277.337 | 5106.119 | 10621.093 | 114.949 | 0.133 | 1.600 | 0.043 | 0.800 | 1.664 | 0.018 | 100 | 100 | 100 | 100 | 100 | 552615.580 | 395961.223 | 136070.479 | 11354.637 | 20960.524 | 100 | 100 | 100 | 100 | 100 | 40678.67 | 6.375 | 7586.58 | 1.189 | 2676.14 | 0.419 | 116667.07 | 18282.98 | 1.869 | 6381185024 | 6.24252e+13 |
| OWID_WRL | World | 2004 | 28470.451 | 4.763 | 1294.267 | NA | NA | NA | 4.406 | NA | 100 | 1147109.914 | 100 | 0.431 | NA | 0.233 | 905.653 | 10877.645 | 301.041 | 5274.069 | 10992.582 | 119.461 | 0.140 | 1.684 | 0.047 | 0.816 | 1.701 | 0.018 | 100 | 100 | 100 | 100 | 100 | 563493.225 | 406953.806 | 141344.548 | 11655.678 | 21866.177 | 100 | 100 | 100 | 100 | 100 | 42452.22 | 6.570 | 7770.13 | 1.203 | 2742.89 | 0.425 | 122395.79 | 18943.32 | 1.855 | 6461158912 | 6.59958e+13 |
| OWID_WRL | World | 2005 | 29410.889 | 3.303 | 940.438 | NA | NA | NA | 4.496 | NA | 100 | 1176520.803 | 100 | 0.416 | NA | 0.232 | 957.464 | 11537.730 | 321.168 | 5399.904 | 11071.852 | 122.770 | 0.146 | 1.764 | 0.049 | 0.825 | 1.692 | 0.019 | 100 | 100 | 100 | 100 | 100 | 575030.956 | 418025.658 | 146744.452 | 11976.846 | 22823.641 | 100 | 100 | 100 | 100 | 100 | 43354.52 | 6.627 | 7749.03 | 1.185 | 2740.70 | 0.419 | 126626.72 | 19356.24 | 1.790 | 6541906944 | 7.07299e+13 |
| OWID_WRL | World | 2006 | 30374.554 | 3.277 | 963.665 | NA | NA | NA | 4.586 | NA | 100 | 1206895.357 | 100 | 0.404 | NA | 0.233 | 1045.562 | 12194.676 | 322.802 | 5524.521 | 11159.281 | 127.711 | 0.158 | 1.841 | 0.049 | 0.834 | 1.685 | 0.019 | 100 | 100 | 100 | 100 | 100 | 587225.632 | 429184.940 | 152268.973 | 12299.648 | 23869.204 | 100 | 100 | 100 | 100 | 100 | 43723.50 | 6.601 | 7927.19 | 1.197 | 2774.44 | 0.419 | 130323.33 | 19675.85 | 1.736 | 6623518208 | 7.50739e+13 |
| OWID_WRL | World | 2007 | 31293.862 | 3.027 | 919.308 | NA | NA | NA | 4.667 | NA | 100 | 1238189.220 | 100 | 0.392 | NA | 0.233 | 1120.179 | 12774.790 | 337.991 | 5710.415 | 11221.838 | 128.649 | 0.167 | 1.905 | 0.050 | 0.852 | 1.673 | 0.019 | 100 | 100 | 100 | 100 | 100 | 600000.422 | 440406.778 | 157979.388 | 12637.639 | 24989.382 | 100 | 100 | 100 | 100 | 100 | 44584.43 | 6.648 | 7945.85 | 1.185 | 2822.20 | 0.421 | 134465.27 | 20051.65 | 1.684 | 6705947136 | 7.98616e+13 |
| OWID_WRL | World | 2008 | 31946.034 | 2.084 | 652.172 | NA | NA | NA | 4.705 | NA | 100 | 1270135.253 | 100 | 0.385 | NA | 0.235 | 1136.902 | 13260.656 | 351.570 | 5873.324 | 11199.617 | 123.965 | 0.167 | 1.953 | 0.052 | 0.865 | 1.650 | 0.018 | 100 | 100 | 100 | 100 | 100 | 613261.078 | 451606.395 | 163852.712 | 12989.210 | 26126.284 | 100 | 100 | 100 | 100 | 100 | 44952.27 | 6.621 | 8017.25 | 1.181 | 2802.99 | 0.413 | 136130.34 | 20051.34 | 1.641 | 6789088768 | 8.29638e+13 |
| OWID_WRL | World | 2009 | 31464.200 | -1.508 | -481.833 | NA | NA | NA | 4.578 | NA | 100 | 1301599.454 | 100 | 0.382 | NA | 0.234 | 1168.219 | 13096.209 | 342.766 | 5764.762 | 10989.512 | 102.732 | 0.170 | 1.906 | 0.050 | 0.839 | 1.599 | 0.015 | 100 | 100 | 100 | 100 | 100 | 626357.287 | 462595.907 | 169617.474 | 13331.976 | 27294.503 | 100 | 100 | 100 | 100 | 100 | 44936.19 | 6.538 | 8100.53 | 1.179 | 2803.03 | 0.408 | 134213.76 | 19528.34 | 1.629 | 6872766976 | 8.23905e+13 |
| OWID_WRL | World | 2010 | 33131.911 | 5.300 | 1667.711 | NA | NA | NA | 4.763 | NA | 100 | 1334731.365 | 100 | 0.374 | NA | 0.235 | 1242.448 | 13930.110 | 350.361 | 6206.111 | 11288.151 | 114.729 | 0.179 | 2.002 | 0.050 | 0.892 | 1.623 | 0.016 | 100 | 100 | 100 | 100 | 100 | 640287.397 | 473884.058 | 175823.585 | 13682.337 | 28536.951 | 100 | 100 | 100 | 100 | 100 | 46552.37 | 6.692 | 8170.01 | 1.174 | 2860.55 | 0.411 | 140722.29 | 20227.95 | 1.591 | 6956824064 | 8.84541e+13 |
| OWID_WRL | World | 2011 | 34209.583 | 3.253 | 1077.672 | NA | NA | NA | 4.858 | NA | 100 | 1368940.948 | 100 | 0.364 | NA | 0.237 | 1333.891 | 14748.066 | 343.432 | 6372.084 | 11294.423 | 117.687 | 0.189 | 2.095 | 0.049 | 0.905 | 1.604 | 0.017 | 100 | 100 | 100 | 100 | 100 | 655035.463 | 485178.481 | 182195.670 | 14025.769 | 29870.842 | 100 | 100 | 100 | 100 | 100 | 47802.54 | 6.789 | 8280.11 | 1.176 | 2943.30 | 0.418 | 144255.09 | 20487.31 | 1.535 | 7041193984 | 9.39521e+13 |
| OWID_WRL | World | 2012 | 34760.008 | 1.609 | 550.426 | NA | NA | NA | 4.878 | NA | 100 | 1403700.956 | 100 | 0.360 | NA | 0.238 | 1371.644 | 14901.935 | 348.956 | 6497.149 | 11523.496 | 116.828 | 0.192 | 2.091 | 0.049 | 0.912 | 1.617 | 0.016 | 100 | 100 | 100 | 100 | 100 | 669937.398 | 496701.978 | 188692.819 | 14374.725 | 31242.486 | 100 | 100 | 100 | 100 | 100 | 48348.77 | 6.785 | 8374.14 | 1.175 | 2970.41 | 0.417 | 146252.98 | 20524.35 | 1.513 | 7125828096 | 9.66492e+13 |
| OWID_WRL | World | 2013 | 34987.264 | 0.654 | 227.255 | NA | NA | NA | 4.852 | NA | 100 | 1438688.219 | 100 | 0.352 | NA | 0.235 | 1427.393 | 14921.136 | 349.063 | 6540.736 | 11629.569 | 119.366 | 0.198 | 2.069 | 0.048 | 0.907 | 1.613 | 0.017 | 100 | 100 | 100 | 100 | 100 | 684858.534 | 508331.547 | 195233.555 | 14723.788 | 32669.879 | 100 | 100 | 100 | 100 | 100 | 48961.60 | 6.790 | 8339.46 | 1.157 | 2941.00 | 0.408 | 149089.93 | 20676.55 | 1.502 | 7210582016 | 9.92797e+13 |
| OWID_WRL | World | 2014 | 35244.868 | 0.736 | 257.605 | NA | NA | NA | 4.831 | NA | 100 | 1473933.087 | 100 | 0.346 | NA | 0.234 | 1483.543 | 14944.736 | 360.754 | 6590.456 | 11744.752 | 120.627 | 0.203 | 2.049 | 0.049 | 0.903 | 1.610 | 0.017 | 100 | 100 | 100 | 100 | 100 | 699803.270 | 520076.299 | 201824.011 | 15084.542 | 34153.422 | 100 | 100 | 100 | 100 | 100 | 49440.79 | 6.777 | 8477.25 | 1.162 | 2999.32 | 0.411 | 150489.50 | 20628.31 | 1.475 | 7295290880 | 1.01999e+14 |
| OWID_WRL | World | 2015 | 35209.447 | -0.101 | -35.422 | NA | NA | NA | 4.771 | NA | 100 | 1509142.534 | 100 | 0.335 | NA | 0.232 | 1428.375 | 14624.451 | 362.053 | 6762.248 | 11914.683 | 117.635 | 0.194 | 1.982 | 0.049 | 0.916 | 1.615 | 0.016 | 100 | 100 | 100 | 100 | 100 | 714427.722 | 531990.982 | 208586.259 | 15446.595 | 35581.797 | 100 | 100 | 100 | 100 | 100 | 49854.98 | 6.756 | 8660.01 | 1.173 | 3052.82 | 0.414 | 151720.06 | 20558.84 | 1.447 | 7379796992 | 1.04855e+14 |
| OWID_WRL | World | 2016 | 35220.412 | 0.031 | 10.966 | NA | NA | NA | 4.719 | NA | 100 | 1544362.946 | 100 | 0.329 | NA | 0.229 | 1463.585 | 14364.382 | 371.409 | 6939.908 | 11969.329 | 111.800 | 0.196 | 1.924 | 0.050 | 0.930 | 1.604 | 0.015 | 100 | 100 | 100 | 100 | 100 | 728792.104 | 543960.311 | 215526.166 | 15818.004 | 37045.382 | 100 | 100 | 100 | 100 | 100 | 49358.03 | 6.613 | 8550.06 | 1.146 | 3054.00 | 0.409 | 153848.43 | 20612.00 | 1.444 | 7464022016 | 1.06561e+14 |
| OWID_WRL | World | 2017 | 35696.349 | 1.351 | 475.936 | NA | NA | NA | 4.729 | NA | 100 | 1580059.295 | 100 | NA | NA | NA | 1476.475 | 14413.361 | 403.984 | 7114.554 | 12174.822 | 113.152 | 0.196 | 1.910 | 0.054 | 0.943 | 1.613 | 0.015 | 100 | 100 | 100 | 100 | 100 | 743205.465 | 556135.133 | 222640.721 | 16221.989 | 38521.857 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7547858944 | NA |
| OWID_WRL | World | 2018 | 36419.712 | 2.026 | 723.363 | NA | NA | NA | 4.773 | NA | 100 | 1616479.007 | 100 | NA | NA | NA | 1514.612 | 14618.299 | 429.496 | 7489.099 | 12253.085 | 115.121 | 0.198 | 1.916 | 0.056 | 0.981 | 1.606 | 0.015 | 100 | 100 | 100 | 100 | 100 | 757823.764 | 568388.218 | 230129.820 | 16651.484 | 40036.469 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7631091200 | NA |
| OWID_WRL | World | 2019 | 36441.388 | 0.060 | 21.676 | NA | NA | NA | 4.724 | NA | 100 | 1652920.394 | 100 | NA | NA | NA | 1563.761 | 14362.167 | 429.496 | 7615.714 | 12355.129 | 115.121 | 0.203 | 1.862 | 0.056 | 0.987 | 1.602 | 0.015 | 100 | 100 | 100 | 100 | 100 | 772185.931 | 580743.347 | 237745.534 | 17080.980 | 41600.230 | 100 | 100 | 100 | 100 | 100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7713467904 | NA |
OGS.MAP.OWID = function(owid_data, geoscale, geoname.filter){
owid_data_OGS = owid_data %>%
filter(country == geoname.filter) %>%
add_column(data.provider = "OWID",
data.source = "OWID",
geo.scale = geoscale,
sector = "All",
geo.code.iso2c = NA,
unit = "MtCO₂",
gas = "CO2") %>%
rename(geo.code.iso3c = iso_code,
geo.name = country,
value = co2) %>%
select(data.source, data.provider, geo.scale, geo.code.iso2c, geo.code.iso3c, geo.name,
year, sector, gas, value)
return(owid_data_OGS)
}
owid_data_OGS = OGS.MAP.OWID(owid_data = ghg_emissions_owid,
geoscale = "World",
geoname.filter = "World")
# plot timeserie
owid_data_OGS %>%
# filter(year >= 1990 & year < 2017) %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "World GHG emissions (source: WRI - CAIT)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))OGS_ghg_emission = bind_rows(Worldbank_data_OGS,
wri_data_OGS,
owid_data_OGS)
# plot timeserie
OGS_ghg_emission %>%
filter(year >= 1990) %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
color = ~data.provider,
type = 'scatter',
# type = "line",
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "World GHG emissions",
yaxis = list(title = "GHG emissions (MtCO₂)"),
xaxis = list(title = "Years"))Data used in this article has been downloaded from here: https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
EEA GHG emissions data represents national emissions reported to the UNFCCC and to the EU Greenhouse Gas Monitoring Mechanis, sent by countries to UNFCCC and the EU Greenhouse Gas Monitoring Mechanism (EU Member States). This data set reflects the GHG inventory data for 2020 as reported under the United Nations Framework Convention for Climate Change with respect to sector categories described in this section.
ghg_emissions_eea <- readr::read_csv(file = "https://raw.githubusercontent.com/OpenGeoScales/CarbonData/main/datasets/raw/eea/UNFCCC_v23.csv")The table below describes a complete description of variable definition:
| Column name | Description |
|---|---|
| Country_code | International Country code (ISO 3166-1-Alpha-2 code elements) |
| Country | country name |
| Format_name | Name of guideline (e.g., IPCC Common Reporting Format) |
| Pollutant_name | Short name of pollutant (CO2, CH4, All greenhouse gases - (CO2 equivalent), Unspecified mix of HFCs and PFCs - (CO2 equivalent), HFCs - (CO2 equivalent), SF6 - (CO2 equivalent), N2O, NF3 - (CO2 equivalent), PFCs - (CO2 equivalent)) |
| Sector_code | Sector code (e.g., 1,1.A.1.b, Sectors/Totals_excl…) |
| Sector_name | Sector name (e.g., Total (without LULUCF),5 - Waste management, 2 - Industrial Processes and Product Use…) |
| Parent_sector_code | Parent sector code (e.g., 1,4.A, 2.B…) |
| Unit | Unit of the measure value (Gg CO2 equivalent) |
| Year | Year (1985-2018) |
| emissions | Emission value |
| Notation | Notation key |
| PublicationDate | Publication Date |
OGS.MAP.EEA = function(eea_data, geoscale, geoname.filter, sector.filter, gas.filter){
eea_data_OGS = eea_data %>%
# recode sectors and gas values
mutate(sector = fct_collapse(Sector_name, "All" = "Total (with LULUCF)"),
gas = fct_collapse(Pollutant_name, "All" = "All greenhouse gases - (CO2 equivalent)")) %>%
# rename columns
add_column(data.provider = "EEA",
geo.scale = geoscale,
geo.code.iso3c = NA,
unit = "MtCO₂e") %>%
rename(data.source = DataSource,
geo.code.iso2c = Country_code,
geo.name = Country,
value = emissions,
year = Year) %>%
select(data.source, data.provider, geo.scale, geo.code.iso2c, geo.code.iso3c, geo.name,
year, sector, gas, value) %>%
# filter
filter(geo.name == geoname.filter & sector == sector.filter & gas == gas.filter) %>%
mutate_at("value" , as.numeric) %>%
mutate_at("year" , as.numeric) %>%
mutate(value = value * 0.001) %>%
arrange(year)
return(eea_data_OGS)
}
eea_data_OGS_fr = OGS.MAP.EEA(ghg_emissions_eea,
geoscale = "Country",
geoname.filter = "France",
sector.filter = "All",
gas.filter = "All")
# plot timeserie
eea_data_OGS_fr %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
color = ~data.provider,
type = 'scatter',
# type = "line",
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "France - GHG emissions (source: EEA)",
yaxis = list(title = "GHG emissions (MtCO₂)"),
xaxis = list(title = "Years"))Worldbank_data_OGS_fr = OGS.MAP.WB(Worldbank_data = ghg_emissions_wb,
start_date = 1970,
end_date = 2012,
geoscale = "Country",
geoname.filter = "France" )
# plot timeserie
Worldbank_data_OGS_fr %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "France - GHG emissions (source: Wrold Bank)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))wri_CAIT_data_OGS_fr = OGS.MAP.WRI.CAIT(wri_data = ghg_emissions_wri,
datasource.filter = "CAIT",
geoname.filter = "France",
gas.filter = "All",
sector.filter = "All",
geoscale = "World",
start_date = 1990,
end_date = 2016)
# plot timeserie
wri_CAIT_data_OGS_fr %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "France GHG emissions (source: WRI - CAIT)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))OGS.MAP.WRI.UNFCCC = function(wri_data, start_date, end_date, geoscale,sector.filter,gas.filter,geoname.filter,datasource.filter){
wri_UNFCCC_data_OGS = wri_data %>%
filter(Data.source == datasource.filter,
Country == geoname.filter)%>%
# recode sectors and gas values
mutate(sector = fct_collapse(Sector, "All" = "Total GHG emissions with LULUCF"),
gas = fct_collapse(Gas, "All" = "Aggregate GHGs")) %>%
# filter gas and sector
filter(sector == sector.filter,
gas == gas.filter) %>%
# pivot data
pivot_longer(
cols = starts_with("X"),
names_to = "year",
names_prefix = "X",
values_to = "value") %>%
mutate_at("year" , as.numeric) %>%
arrange(year) %>%
add_column(data.provider = "WRI.UNFCCC",
geo.scale = geoscale,
geo.code.iso3c = NA,
geo.code.iso2c = NA,
unit = "MtCO₂e") %>%
rename(data.source = Data.source,
geo.name = Country,
value = value) %>%
select(data.source, data.provider, geo.scale, geo.code.iso2c, geo.code.iso3c, geo.name,
year, sector, gas, value) %>%
filter(year >= start_date & year <= end_date) %>%
mutate_at("value" , as.numeric)
return(wri_UNFCCC_data_OGS)
}
wri_UNFCCC_data_OGS_fr = OGS.MAP.WRI.UNFCCC(wri_data = ghg_emissions_wri,
datasource.filter = "UNFCCC_AI",
geoname.filter = "France",
gas.filter = "All",
sector.filter = "All",
geoscale = "Country",
start_date = 1990,
end_date = 2016)
# plot timeserie
wri_UNFCCC_data_OGS_fr %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
type = 'scatter',
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "France GHG emissions (source: WRI - UNFCCC)",
yaxis = list(title = "GHG emissions"),
xaxis = list(title = "Years"))Created in 1961, CITEPA (Technical Reference for Air Pollution and Climate Change) quantifies, identifies, expertises and reports atmospheric emissions data, explanatory variables and efficiency indicators, as well as methods for monitoring, quantifying, projecting and modeling emissions, policies and measures of mitigation and adaptation.
As a non-profit organisation and State operator for the French Environment Ministry, the Citepea meets reporting requirements for air pollutants and greenhouse gas emissions from France in different inventory formats, such as UNFCCC, EMEP, and Kyoto Protocol.
Data:
Citepa officially estimates greenhouse gas and air polluant emissions each year on behalf of the Ministry of the Environment. his inventory is carried out as part of France’s international commitments, mainly under the United Nations Framework Convention on Climate Change (as well as the Kyoto Protocol and the Paris Agreement) for greenhouse gases, and the United Nations Economic Commission for Europe for pollutants (LRTAP Convention).
All produced data and official reports can be download from this page.
https://www.data.gouv.fr/fr/datasets/inventaire-de-gaz-a-effet-de-serre-territorialise/
In this section we will combine the different data sources in order to compare ghg emissions’ values
# combine data sources
OGS_ghg_emission_fr = bind_rows(Worldbank_data_OGS_fr,
wri_CAIT_data_OGS_fr,
wri_UNFCCC_data_OGS_fr,
eea_data_OGS_fr)
# plot timeserie
OGS_ghg_emission_fr %>%
filter(year >= 1990) %>%
plot_ly() %>%
add_trace(y = ~value,
x = ~year,
color = ~data.provider,
type = 'scatter',
# type = "line",
mode = 'lines+markers',
orientation = "v",
hoverinfo = 'text',
text = ~paste('</br> Year: ', year,
'</br> Value: ', value,
'</br> Gas: ', gas,
'</br> Sector: ', sector,
'</br> Source: ', data.provider)) %>%
layout(title = "France GHG emissions",
yaxis = list(title = "GHG emissions (MtCO₂)"),
xaxis = list(title = "Years"))GHG reporting for sub-national territories may refer to multiple geographical divisions such as: municipalities, districts, regions… Different approaches may be undertaken for assessing carbon footprint of territories:
ADEME provides in this article a comprehensive comparison of these different approaches for GHG assessment.
citepa_IGT = read.csv(file ="https://raw.githubusercontent.com/OpenGeoScales/CarbonData/main/datasets/raw/citepa/igt/IGT%20-%20Pouvoir%20de%20r%C3%A9chauffement%20global-full.csv",
encoding = "UTF-8")
citepa_IGT_OGS = citepa_IGT %>%
mutate(Total_emissions = rowSums(.[3:12], na.rm = TRUE))
# plot map of vulnerability index
library(leaflet)
library(RColorBrewer)
pal <- colorQuantile(palette = "RdYlBu", n = 5,
domain = citepa_IGT_OGS$Total_emissions,
reverse = TRUE)
labels <- sprintf(
"<strong>%s</strong><br/><strong>%s</strong><br/>",
paste("Name", citepa_IGT_OGS$Commune, sep=": "),
paste("Total emissions", round(citepa_IGT_OGS$Total_emissions,2), sep =": ")
) %>%
lapply(htmltools::HTML)
leaflet(data = citepa_IGT_OGS, height = 400, width = "100%") %>%
addTiles() %>%
addProviderTiles(providers$CartoDB.DarkMatter) %>%
addCircleMarkers(~lon, ~lat,
radius = 1,
color = ~pal(Total_emissions),
stroke = FALSE,
fillOpacity = 0.7,
weight = 100,
popup = ~as.character(Commune),
label = labels) %>%
addLegend(pal = pal, values = ~Total_emissions, opacity = 0.9,
title = "Total emissions",
position = "bottomright",
labFormat = labelFormat(suffix = " "))